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  • KDnuggets™ News 18:n10, Mar 7: Functional Programming in Python; Surviving Your Data Science Interview; Easy Image Recognition with Google Tensorflow

    ...p;|  Courses |  Meetings |  Jobs |  Tops |  Image of the week   Features Introduction to Functional Programming in Python How to Survive Your Data Science Interview Is Google Tensorflow Object Detection API the Easiest Way to Implement Image...

    https://www.kdnuggets.com/2018/n10.html

  • fastcore: An Underrated Python Library">Gold Blogfastcore: An Underrated Python Library

    ...ons with external services processing things in batches on each worker, ex: if you have a vectorized operation to perform in chunks   Functional Programming   The functional programming section is my favorite part of this library. maps: a map that also composes functions mapped: A more...

    https://www.kdnuggets.com/2020/10/fastcore-underrated-python-library.html

  • I Designed My Own Machine Learning and AI Degree

    ...nal Covers: how to solve complex search problems with discrete optimization concepts and algorithms, constraint programming, branch and bound, linear programming (LP), mixed-integer programming   Computer Science Foundation   Introduction to Computer Science by Harvard (edX) [Free, $99 w/...

    https://www.kdnuggets.com/2020/05/designed-machine-learning-ai-degree.html

  • Can Java Be Used for Machine Learning and Data Science?">Gold BlogCan Java Be Used for Machine Learning and Data Science?

    ...nalysis is an open-source software used specifically for data mining on data streams in real-time. Java is an incredibly useful, speedy, and reliable programming language that helps development teams build a multitude of projects. From data mining and data analysis to the building of Machine...

    https://www.kdnuggets.com/2020/04/java-used-machine-learning-data-science.html

  • NREL: Data Scientist

    ...ateness of data storage, archive, purge and backup strategies. Technology tracking: Evaluate and track technology changes in big data initiatives and developments, database technologies, software development frameworks, data acquisition and storage, and software interfaces to database stores....

    https://www.kdnuggets.com/jobs/14/02-28-nrel-data-scientist.html

  • Starcom: Director, Analytics and Development

    ...dvanced analytics and data visualization to turn complex data into compelling stories that influence change. We are seeking a Director, Analytics and Development to provide analytics-based research, insights and direction to aid in the measurement and ultimately development of effective experience...

    https://www.kdnuggets.com/jobs/14/08-17-starcom-director-analytics-development.html

  • AT&T: Lead Product Development Engineer Big Data CIP IT Systems

    ...ment updates for IT progress and key issues, risks and mitigations   Minimum Qualifications: 5+ years of senior management experience in product development, QA, testing, and product deployment in big data platforms Working with Big Data technologies MAPR, PIG, MAHOUT, CHUKWA, FLUME,...

    https://www.kdnuggets.com/jobs/14/03-19-att-lead-product-development-engineer-big-data-cip-it-systems.html

  • MassMutual: Data Architect [Boston, MA, or Springfield, MA]

    ...lutions. Develops prototypes of the system design and works with database, operations, technical support and other IT areas as appropriate throughout development and implementation processes. Contributes to the development and maintenance of data applications including the data, software and...

    https://www.kdnuggets.com/jobs/19/04-08-massmutual-data-architect.html

  • Bayer: Principal Clinical Data Manager [Whippany, NJ]

    ...the corresponding activities of the Early Clinical Team and Clinical Project Team; Ensure smooth phase-transitioning of project between research and development phase in P&O (Portfolio & Operations), is instrumental to facilitate data access and exchange between research and development...

    https://www.kdnuggets.com/jobs/19/06-24-bayer-principal-clinical-data-manager.html

  • From Science to Data Science, a Comprehensive Guide for Transition

    ...s); and given you background you want to be a Type A Data scientist (i.e. more a statistician than a regular programmer), according to this taxonomy. Programming languages Most likely practical programming is the main skill you are missing. For general data science, the standard tools are Python...

    https://www.kdnuggets.com/2016/04/data-science-comprehensive-guide-transition.html

  • Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing

    ...Ron Kohavi (Microsoft, Airbnb), Diane Tang (Google) and Ya Xu (LinkedIn) The book Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing by Ron Kohavi (Microsoft, Airbnb), Diane Tang (Google) and Ya Xu (LinkedIn) is available for purchase. The book’s website is...

    https://www.kdnuggets.com/2020/04/trustworthy-online-controlled-experiments-book.html

  • Choosing Between Model Candidates

    ...low error too, but they are just a little higher than an order-5 polynomial. But as we mentioned, that's not the ultimate test. It's the error on the testing data that we really care about. Careful inspection of testing error (solid circles) shows that the fourth-order model does the best job. At...

    https://www.kdnuggets.com/2019/05/choosing-between-model-candidates.html

  • The Notebook Anti-Pattern

    .... It would need to be maintained to match the code in the extracted script, or diverge into some more untested chaos. If you want to learn more about testing ML pipelines, check out the article: Testing your ML pipelines. Version control If you have ever had to put a Notebook on git or any other...

    https://www.kdnuggets.com/2019/11/notebook-anti-pattern.html

  • Apple: Data Scientist – Apple Media Products, Evaluation and A/B Testing

    ...ears relevant industry experience Extensive background in statistical methods and data mining Excellent applied statistics skills, such as hypothesis testing, experimental design, sample size determination and non-parametric statistics Experience with big data systems and distributed computing,...

    https://www.kdnuggets.com/jobs/18/01-11-apple-data-scientist-evaluation-ab-testing.html

  • Time Series Classification Synthetic vs Real Financial Time Series">Silver BlogTime Series Classification Synthetic vs Real Financial Time Series

    ...n the 'in-sample' held out test set, that is, originally I took the 12,000 training samples # and split them between 75% training and 25% 'in-sample' testing (9000 training vs 3000 in-sample testing) # I plot the probabilities from the model - the "dashed" line is the average predicted probability....

    https://www.kdnuggets.com/2020/03/time-series-classification-synthetic-real-financial-time-series.html

  • Unit Test Your Data Pipeline, You Will Thank Yourself Later">Silver BlogUnit Test Your Data Pipeline, You Will Thank Yourself Later

    ...ane Hillard's post Effective Python Testing With Pytest. In his post you will find out how to utilize basic and advanced Pytest features.   Unit Testing for Data Science   Depending on your projects, what you want to check with unit testing will be different. But there are some common...

    https://www.kdnuggets.com/2020/08/unit-test-data-pipeline-thank-yourself-later.html

  • Corios: Data Engineer

    ...as part of the development process Collaborate with IT in client organizations to design and test the data acquisition and ETL processes Perform unit testing, system integration testing, and user acceptance testing and fix defects found by testing Provide expert guidance and assistance to...

    https://www.kdnuggets.com/jobs/16/04-18-corios-data-engineer.html

  • If programming languages were vehicles, what would be R, Python, SAS, and SQL?

    comments By Gregory Piatetsky, @kdnuggets, Dec 6, 2014. I recently read (and tweeted) a funny post Hilarious ! If programming languages were vehicles: on C, C++, Java, Python, Perl, Lisp, ... http://t.co/JZMk0NRMed pic.twitter.com/romPicF6Y1— Gregory Piatetsky (@kdnuggets) December 1,...

    https://www.kdnuggets.com/2014/12/if-programming-languages-were-vehicles-r-sas-sql.html

  • Perfume, computer programming, and Harvard

    ...g to pay a 2800% premium for the Harvard name, as opposed to an EdX credential. A bit like perfume. Statistics.com also has an introductory track for programming, focusing on the needs of data scientists, using R, Python and SQL. Small classes, individual attention from instructor and teaching...

    https://www.kdnuggets.com/2014/10/perfume-computer-programming-harvard.html

  • Top stories in December: If programming languages were vehicles; Cartoon: Unexpected Data Science Recommendations

    Most viewed If programming languages were vehicles, what would be R, Python, SAS, and SQL? - Dec 6, 2014. Geoffrey Hinton talks about Deep Learning, Google and Everything - Dec 1, 2014. Most Demanded Data Science and Data Mining Skills - Dec 15, 2014. IBM Watson Analytics vs. Microsoft Azure...

    https://www.kdnuggets.com/2015/01/top-news-2014-dec.html

  • Online Data Science Certificates: Analytics and Programming for Data Science

    ...programming proficiency. A typical student profile in this program might be someone working in IT who wants to expand into analytics; a student with programming experience would require about a year to complete all courses. Instruction in basic programming is available for novice programmers (in...

    https://www.kdnuggets.com/2014/03/online-data-science-certificates-analytics-programming-for-data-science.html

  • Free From MIT: Intro to Computational Thinking and Data Science">Gold BlogFree From MIT: Intro to Computational Thinking and Data Science

    ...le to anyone interested in learning.   The course website describes itself as: [T]he continuation of 6.0001 Introduction to Computer Science and Programming in Python and is intended for students with little or no programming experience. It aims to provide students with an understanding of the...

    https://www.kdnuggets.com/2020/10/free-mit-intro-computational-thinking-data-science-python.html

  • KDnuggets™ News 15:n35, Oct 28: Data Science Machine; Programming: Python vs R; KDnuggets Addiction

    ...ons |  Tweets | Quote    Features The Data Science Machine, or ‘How To Engineer Feature Engineering' Data Science Programming: Python vs R Cartoon: KDnuggets Addiction How to Use Data Visualizations to Win Over Your Audience Introducing: Blocks and Fuel -...

    https://www.kdnuggets.com/2015/n35.html

  • Fastest Growing Programming Languages and Computing Frameworks

    comments By Nathan Epstein The Redmonk Language Rankings have been an important tool for ranking the popularity of programming languages since the analysis (regressing Github repo count against Stack Overflow posts) was first done in 2010. The fact that the repo count and post count are…

    https://www.kdnuggets.com/2016/03/ranking-growth-programming-languages.html

  • 5 EBooks to Read Before Getting into A Data Science or Big Data Career

    ...skill sets for a data science role; Resources to build on your learning; And much more! Click here to download Big Data ebook for free   2. Top Programming Languages for a Data Scientist Programming is a core technical skill that is an absolute must-have for data scientists. Learn which...

    https://www.kdnuggets.com/2016/08/simplilearn-5-free-ebooks-data-science-big-data.html

  • Geisinger: Senior Data Science Programmer

    ...rmance Computing environment 4) Manage the shared data and analytics resources for the data science group Experience: A minimum of 3 years of general development experience or 1 year of development experience in a scientific computing (e.g., supercomputing) specialty For more information and to...

    https://www.kdnuggets.com/jobs/15/07-20-geisinger-senior-high-performance-computing-programmer.html

  • SAP.iO Start-Up Incubator: Senior Data Scientist

    ...ear and compelling way Excellent written and communication skills in English language Experience working in a startup environment with a lean product development process through rapid iteration Experience working closely with developers and designers throughout the product development process...

    https://www.kdnuggets.com/jobs/16/11-09-sap-senior-data-scientist.html

  • RCloud – DevOps for Data Science

    …zations, recommendations and reports were done with another. This separation often extended to the very systems where the tools were located (e.g., a development environment versus a production environment). Separating the tools and the environments hinders mid-process feedback and development

    https://www.kdnuggets.com/2016/11/rcloud-devops-data-science.html

  • Equifax: Senior Statistical Modeler

    ...of 6 years work experience in data and quantitative analysis is required. Experience creating advanced statistical and machine-learning models, from development through testing and validation. Ability to design rich data visualizations to communicate complex ideas to customers or company leaders....

    https://www.kdnuggets.com/jobs/16/10-14-equifax-sr-statistical-modeler.html

  • Disney Parks & Resorts: Decisioning Development Marketing Manager

    ...ter and a quick learner with a desire to learn new tools and techniques. This role will oversee a part-time resource also responsible for decisioning development. Responsibilities In-house management of WDPR's real-time personalization tool, serving as a key team member in cross-departmental and...

    https://www.kdnuggets.com/jobs/15/11-04-disney-decisioning-development-marketing-manager.html

  • Turner: Advisor Analytics Architect

    ...integrate data/model solutions with business applications Development of business intelligence visualization and tools to support business processes Development of API and system integration code Development of data visualizations and interactive business intelligence tools Development of complex...

    https://www.kdnuggets.com/jobs/17/03-24-turner-advisor-analytics-architect.html

  • Disney: Decisioning Development Manager II

    ...ter and a quick learner with a desire to learn new tools and techniques. This role will oversee a part-time resource also responsible for decisioning development. Responsibilities In-house management of WDPR's real-time personalization tool, serving as a key team member in cross-departmental and...

    https://www.kdnuggets.com/jobs/15/10-01-disney-decisioning-development-manager.html

  • These Data Science Skills will be your Superpower">Gold BlogThese Data Science Skills will be your Superpower

    ...sidered the 2 most popular programming languages in data science, essential knowledge in both languages is crucial. For more information on essential programming skills needed for data science, please see this article: How Much Programming do I need in Data Science? 3. Data Wrangling and...

    https://www.kdnuggets.com/2020/08/data-science-skills-superpower.html

  • Predictive Analytics Innovation Summit, San Diego: Day 2 Highlights

    ...ago helps sales professionals find the right people and companies, engage with relevant insights, and build trusted relationships. Talking about A/B Testing, he displayed the two visual layouts for plan offers and shared results of the test. A/B testing is important because of the following...

    https://www.kdnuggets.com/2015/04/predictive-analytics-innovation-summit-san-diego-day2.html

  • Interview: Emmanuel Letouzé, Data-Pop Alliance on Big Data and Human Rights – A Complex Affair

    ...tes—including about the applications and implications of Big Data—is and should be treated as a Human Right. AR: Q3. In your 2012 paper "Big Data for Development: Challenges and Opportunities", you mentioned that in order for Big Data to work for development, we need to become "Sophisticated Users...

    https://www.kdnuggets.com/2015/04/interview-emmanuel-letouze-data-pop-alliance-human-rights.html

  • How to Rank 10% in Your First Kaggle Competition

    ...mpetitions use different scoring metrics, which are explained by the question mark on the leaderboard. The score you get is calculated on a subset of testing set, which is commonly referred to as a Public LB score. Whereas the final result will use the remaining data in the testing set, which is...

    https://www.kdnuggets.com/2016/11/rank-ten-precent-first-kaggle-competition.html

  • Tokenization and Text Data Preparation with TensorFlow & Keras

    ...uncating=trunc_type, maxlen=maxlen) print("Testing sequences:\n", test_sequences) print("\nPadded testing sequences:\n", test_padded) print("\nPadded testing shape:",test_padded.shape) Testing sequences: [[3, 4, 14, 15], [2, 3, 9, 10, 11, 12], [1, 17, 7, 16, 1, 4]] Padded testing sequences: [[ 3 4...

    https://www.kdnuggets.com/2020/03/tensorflow-keras-tokenization-text-data-prep.html

  • Interview: Cliff Lyon, Stubhub on Mastering the Art of Recommendation and Personalization Analytics

    ...of the system. AR: Q2. What approach do you recommend for the selection of the right similarity metric? What are the popular metrics? CL: We use A/B testing to see which metric or combinations of metrics work best. I would certainly recommend that as a general approach. A popular metric is not...

    https://www.kdnuggets.com/2014/07/interview-cliff-lyon-stubhub-recommendation-personalization-analytics.html

  • The Benefits & Examples of Using Apache Spark with PySpark

    ...2013. Today, the project is developed collaboratively by a community of hundreds of developers from hundreds of organizations.   Spark is Not a Programming Language   One thing to remember is that Spark is not a programming language like Python or Java. It is a general-purpose...

    https://www.kdnuggets.com/2020/04/benefits-apache-spark-pyspark.html

  • Top Stories, Feb 26 – Mar 4: Introduction to Functional Programming in Python; A Tour of The Top 10 Algorithms for Machine Learning Newbies

    ...jects - Feb 20, 2018. 5 Fantastic Practical Machine Learning Resources - Feb 06, 2018. Introduction to Python Ensembles - Feb 09, 2018. Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch - Feb 20, 2018. Introduction to Functional Programming in Python - Feb 28, 2018. A...

    https://www.kdnuggets.com/2018/03/top-news-week-0226-0304.html

  • Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities">Silver BlogOnline Certificates/Courses in AI, Data Science, Machine Learning from Top Universities

    ...tics Professional Certificate program you will gain insight into the latest data science tools and their application in finance, health care, product development, sales and more. With real world examples, we will demonstrate how data science can improve corporate decision-making and performance,...

    https://www.kdnuggets.com/2020/09/online-certificates-ai-data-science-machine-learning-top.html

  • Top Stories, Sep 7-13: Free From MIT: Intro to Computer Science and Programming in Python

    ...in Analytics, Business Analytics, Data Science – Updated The List of Top 10 Lists in Data Science Free From MIT: Intro to Computer Science and Programming in Python Know What Employers are Expecting for a Data Scientist Role in 2020 Most Shared Past 30 Days If I had to start learning Data...

    https://www.kdnuggets.com/2020/09/top-news-week-0907-0913.html

  • Netflix: Manager, Content Programming Science & Algorithms

    ...n: Los Angeles, CA Web: www.netflix.com Company: Netflix Position: Manager, Content Programming Science & Algorithms _Contact_: Apply online. Content Programming In 2017, Netflix will produce over 1,000 hours of Original series, films, stand-up, and documentaries, in addition to licensing thousands...

    https://www.kdnuggets.com/jobs/17/02-27-netflix-manager-content-programming-science-algorithms.html

  • R or Python? Consider learning both

    …ou are well versed in programming you might begin thinking of R as a limited programming language. The truth is, R was designed more like a tool with programming capabilities, rather than a programming language. Regarding R as an open source alternative to STATA or SAS would be more appropriate…

    https://www.kdnuggets.com/2016/03/r-python-learning-both-datacamp.html

  • How The Algorithm Economy And Containers Are Changing The Apps

    …mming languages and use different data storage technologies.” Similar to the algorithm economy, containers are like Legos for cloud-based application development. “This changes cloud development practices,” Carlson said, “by putting larger-scale architectures like those used at Facebook and Twitter…

    https://www.kdnuggets.com/2016/02/how-algorithm-economy-containers-are-changing-apps.html

  • Software Suites/Platforms for Analytics, Data Mining, Data Science, and Machine Learning

    ...tor ML models at scale. Statistica Data Miner, a comprehensive, integrated statistical data analysis, graphics, data base management, and application development system. Synapse, a development environment for neural networks and other adaptive systems, supporting the entire development cycle from...

    https://www.kdnuggets.com/software/suites.html

  • Explainable and Reproducible Machine Learning Model Development with DALEX and Neptune

    ...gence (XAI), which is a set of methods and techniques that make you understand the model’s behavior. There are many XAI methods available in multiple programming languages. Some of the most commonly used in machine learning are LIME, SHAP, or PDP, but there are many more. It is easy to get lost in...

    https://www.kdnuggets.com/2020/08/explainable-reproducible-machine-learning-model-development-dalex-neptune.html

  • Rapid Python Model Deployment with FICO Xpress Insight

    ...business users and Data Science team Helps Data Science teams rapidly build scalable applications by drag-and-drop without any html/JavaScript or web development knowledge Enables business users to look at early versions of the end-user application and provide feedback on solution design and...

    https://www.kdnuggets.com/2020/08/fico-xpress-insight-python-deployment.html

  • Introducing Brain Simulator II: A New Platform for AGI Experimentation

    ...tions such as speech and motion, either robotic or simulated. There are also modules that simulate environments in either two or three dimensions for development and testing purposes. Two important internal modules are the Universal Knowledge Store (a generalized knowledge graph) and Internal...

    https://www.kdnuggets.com/2020/04/brain-simulator-new-platform-agi.html

  • Precision for Medicine: Data Scientist

    ...following fields: Statistics, Applied Mathematics, Computer Science, Engineering, Data Science 2+ years of experience in front-end and user interface development 2+ years of experience in R programming Proficient in HTML5, CSS3, and JavaScript, and scripting languages (e.g. shell, perl) Experience...

    https://www.kdnuggets.com/jobs/16/07-20-precisionformedicine-data-scientist.html

  • Interview: Slava Akmaev, Berg on Healthcare Transparency & Effectiveness using Big Data

    ...aev: Berg is a widely diversified company in healthcare. We have four business divisions that independently focus on areas such as drug discovery and development, detection of novel biomarkers, development and commercialization of diagnostic tests, data analytical work in healthcare, and predictive...

    https://www.kdnuggets.com/2015/03/interview-slava-akmaev-berg-healthcare.html

  • SapientNitro: Sr. Manager Marketing Analytics

    ...nalytics) to develop fully informed and holistic marketing strategy   Marketing Strategy & Planning Develop deliverable frameworks and guide development of core marketing strategies, including: Pilot Program Development Customer Segmentation Strategy Sales / Marketing Lifecycle Development...

    https://www.kdnuggets.com/jobs/15/08-07-sapientnitro-sr-manager-marketing-analytics.html

  • MasterCard: Business Leader, Product Development, Fraud Data Strategy and Modeling

    ...will be responsible for data strategy and modeling activities that support both new and existing fraud services initiatives within the fraud product development team in Enterprise Security Solutions (ESS), creating real world, real-time products that address these market challenges. Have you ever...

    https://www.kdnuggets.com/jobs/14/09-20-mastercard-business-leader-product-development-fraud-data-strategy-b.html

  • MasterCard: Business Leader, Product Development, Fraud Data Strategy and Modeling

    ...will be responsible for data strategy and modeling activities that support both new and existing fraud services initiatives within the fraud product development team in Enterprise Security Solutions (ESS), creating real world, real-time products that address these market challenges. Have you ever...

    https://www.kdnuggets.com/jobs/14/08-08-mastercard-business-leader-product-development-fraud-data-strategy-modeling.html

  • Sr. Software Development Engineer – Cloud/ Big Data

    ...ticipate in the roadmap definition for the team Basic Qualifications Bachelor in Computer Science or related field 4+ years of experience in software development and full product life-cycles Coding skills in Java/C++ coupled with strong base in object-oriented design and development Experience with...

    https://www.kdnuggets.com/jobs/13/05-01-amazon-sr-sde-cloud-big-data.html

  • Sr. Software Development Engineer – Cloud/ Big Data

    ...ticipate in the roadmap definition for the team Basic Qualifications Bachelor in Computer Science or related field 4+ years of experience in software development and full product life-cycles Coding skills in Java/C++ coupled with strong base in object-oriented design and development Experience with...

    https://www.kdnuggets.com/jobs/13/05-01-amazon-sr-sde-cloud-big-data.html

  • Cummins: Data Engineering Technical Specialist [Columbus, IN]

    ...internal users/data sources as well as external users/data sources. Design and Implement automated reports and API’s for visualization and analytics development. Design and Implement data pipeline development methods that combine internal Cummins' data sources as well as external and third-party...

    https://www.kdnuggets.com/jobs/18/12-13-cummins-data-engineering-technical-specialist.html

  • American Family Insurance: Analytics Strategy & Integration Director

    ...to collaborate with Strategic Data & Analytics management as well as other business partners internal and external to the division to coordinate development and integration of advanced analytics projects. Ensures analytics strategy, development and integration approach are well-aligned with...

    https://www.kdnuggets.com/jobs/16/05-12-amfam-analytics-strategy-integration-director.html

  • Machine Learning & AI Main Developments in 2018 and Key Trends for 2019">Gold BlogMachine Learning & AI Main Developments in 2018 and Key Trends for 2019

    ...ublic discourse on machine learning and AI. Perhaps I’ll annoy some people with this observation, but here’s one reasonable read on 2018: the biggest development was that there were no developments! Of course that’s too simplistic a take, but allow me to unpack the point. A substantial fraction the...

    https://www.kdnuggets.com/2018/12/predictions-machine-learning-ai-2019.html

  • Turbo Charge Agile Processes with Deep Learning

    ...the essence of the approach. The key to leveraging Deep Learning, or more broadly AI, in the workplace is to understand where it fits within an agile development environment. (It is of course obvious that Deep Learning development and operations should work within a continuous integration and...

    https://www.kdnuggets.com/2017/02/turbo-charge-agile-processes-deep-learning.html

  • Ethics should be a part of Data Science Training

    ...s the passion for pure knowledge. Science has nothing to do with ethics. Science is the truth, a pure light which doesn't care about what humans call ethical or unethical. Scientist are looking or better they are called by this light. The real question is should scientist share this truth with the...

    https://www.kdnuggets.com/2015/11/poll-ethics-part-data-science-training.html

  • Ethical Implications Of Industrialized Analytics

    …ise would have lived. As a society, we have accepted that because the number of people saved by wearing a seatbelt is so much higher. We have made an ethical decision to accept some exceptional events and our laws reflect that. You won’t win a lawsuit saying that you were injured due to wearing a…

    https://www.kdnuggets.com/2016/11/ethical-implications-industrialized-analytics.html

  • Learn Data Science in 8 (Easy) Steps

    ...p to understanding how end-to-end development works: the stuff you will work on will be integrated with other systems, so it’s best to understand how development from beginning to end, from the requirements gathering and analysis to testing and maintaining code. When you have grasped this concept,...

    https://www.kdnuggets.com/2016/10/learn-data-science-8-steps.html

  • Machine Ethics and Artificial Moral Agents

    ...akes the ethical and purposeful design of machines and algorithms not simply important but necessary. But the problems do not end here. Incorporating ethical principles into our technology development process should not just be a way to prevent human race extinction but also a way to understand how...

    https://www.kdnuggets.com/2017/11/machine-ethics-artificial-moral-agents.html

  • 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)">Platinum Blog20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)

    ...ecent explosion of AI, machine learning, and related technologies, and their increasingly quick adoption and integration into society at large, these ethical concerns have risen to the forefront of many minds both within and outside of the AI community. While esoteric and currently abstract ethical...

    https://www.kdnuggets.com/2020/03/ai-data-science-machine-learning-key-terms-part2.html

  • 42 Essential Quotes by Data Science Thought Leaders

    …u have a certain amount of math/stats and hacking skills, it is much better to acquire a grounding in one or more subjects than in adding yet another programming language to your hacking skills, or yet another machine learning algorithm to your math/stats portfolio…. Clients will rather work with…

    https://www.kdnuggets.com/2017/05/42-essential-quotes-data-science-thought-leaders.html

  • 10 Free Must-read Books on AI">Gold Blog10 Free Must-read Books on AI

    ...ant offering comprehensive infrastructure and analytics solutions for international client teams seeking new insights or data-driven capabilities. 9. Ethical Artificial Intelligence by Bill Hibbard (November 2015, 177 pages). Download. About the book: This book-length article combines several...

    https://www.kdnuggets.com/2019/11/10-free-must-read-books-ai.html

  • AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020">Gold BlogAI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020

    ...awful, ethical and robust AI. Finally, I am sharing with KDnuggets readers that all the keynote speakers at PyData London 2019 were women – a welcome development! I expect that the main ML development trends of 2020 will continue within NLP and computer vision. Industries adopting ML and DS have...

    https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-research.html

  • A Great way to learn Data Science by simply doing it

    …Links: https://www.udemy.com/courses/Business/Data-and-Analytics/ https://www.udemy.com/courses/Development/Databases/ https://www.udemy.com/courses/Development/Programming-Languages/ Alison: Diploma in Statistics Statistics, Correlation and Regression in Mathematics Open2study: Big Data for…

    https://www.kdnuggets.com/2015/09/learn-data-science-by-doing.html

  • Top 10 Technology Trends of 2018">Gold BlogTop 10 Technology Trends of 2018

    ...tenceintend to apply the blockchain technology for this purpose.   3. New approaches to privacy and security are coming   The technological development boosts the importance of data, so hacking techniques become ever more progressive. The increase in numbers of devices connected to the...

    https://www.kdnuggets.com/2018/04/top-10-technology-trends-2018.html

  • Top KDnuggets tweets, Jan 12-13: Dilbert on analytics of #dating and A/B testing; Convolutional Neural Nets (LeNet)

    ...Must Evolve to give students needed data engineering and #BigData skills t.co/pm9lcsqf37 Most Clicked: Dilbert looks at #analytics of #dating and A/B testing #funny #humor t.co/OZDoDMT3sL t.co/fUHuJDTwSO Top 10 most engaging Tweets Dilbert looks at #analytics of #dating and A/B testing #funny...

    https://www.kdnuggets.com/2015/01/top-tweets-jan12-13.html

  • Top KDnuggets tweets, Jan 12-18: Dilbert looks at #analytics of #dating and A/B testing; Deep Learning and Human Beings

    ...ntations: #DeepLearning and Human Beings #MachineLearning t.co/7bIsRLWRsc t.co/0yJtx9sNZB Most Viewed: Dilbert looks at #analytics of #dating and A/B testing #funny #humor t.co/OZDoDMT3sL t.co/fUHuJDTwSO Most Clicked: A Deep Dive into Recurrent Neural Nets #DeepLearning #MachineLearning...

    https://www.kdnuggets.com/2015/01/top-tweets-jan12-18.html

  • Top KDnuggets tweets, Jun 30 – Jul 06: Click Testing Proved that Beards Are Still A Thing; 16 Free #DataScience Books

    ...st: How Screenshot Click Testing Proved that Beards Are Still A Thing t.co/Xf9m22dTjO t.co/lRFBTHCUcN Most Clicked: Clever Post: How Screenshot Click Testing Proved that Beards Are Still A Thing t.co/Xf9m22dTjO t.co/lRFBTHCUcN Top 10 most engaging Tweets Clever Post: How Screenshot Click Testing...

    https://www.kdnuggets.com/2015/07/top-tweets-jun30-jul06.html

  • Apple: Data Scientist, AMP (A/B Testing, Stat methodology, Hadoop, R)

    ...t industry experience preferred. Extensive background in statistical methods and data mining. Excellent applied statistics skills, such as hypothesis testing, experimental design, sample size determination and non-parametric statistics. Experience with Big Data systems and distributed computing,...

    https://www.kdnuggets.com/jobs/18/03-19-apple-data-scientist-amp.html

  • AI for Fun & Profit: Using the new Genie Cognitive Computing Platform for P2P Lending

    ...y. When the bottle’s name turns green, click on it to go to its web interface. Log into the bottle using your Genie Factory account and password. Backtesting Platform Click on the “Backtesting” link. From “Upload Data Set”, upload each Lending Club .gdz file. These are large files so they may take...

    https://www.kdnuggets.com/2016/07/ai-fun-profit-genie-cognitive-computing.html

  • Better notebooks through CI: automatically testing documentation for graph machine learning

    ...bsp; Bio: Huon Wilson is a software engineer with a strong background in mathematics and statistics, with significant experience in low-level systems programming fields like compilers, and languages like C++, C as well as more exotic ones like Rust. At a higher level, he has experience with...

    https://www.kdnuggets.com/2020/04/better-notebooks-through-ci-automatically-testing-documentation-graph-machine-learning.html

  • Accenture: Big Data Engineer

    ...ed relationships with client stakeholders and act as a trusted adviser Additional skills & experience End to end ML and data engineering pipeline development, performance tuning and testing with Spark (preferably Scala or Python) Experience with Docker and Mesos Executing proof of concepts to...

    https://www.kdnuggets.com/jobs/17/08-09-accenture-big-data-engineer.html

  • Interview: Peter Alvaro, UC Berkeley, on Consistency Challenge in Distributed Systems

    ...talk, I contrasted “bottom-up verification” approaches (e.g., using a model checker to verify individual components such as protocols) with “top-down testing” approaches (e.g., using a combination of integration testing and fault injection, as do systems like Chaos Monkey (and other monkeys) at...

    https://www.kdnuggets.com/2014/12/interview-peter-alvaro-berkeley-distributed-systems.html

  • Software Engineering vs Machine Learning Concepts

    ...mance go to crap immediately. Basically, model reuse creates strong coupling between components which can be problematic if one component is changed. Testing - I find the role of software testing in machine learning to be the trickiest issue of all. Without a doubt testing is necessary, but the...

    https://www.kdnuggets.com/2017/03/software-engineering-vs-machine-learning-concepts.html

  • Top Handy SQL Features for Data Scientists">Gold BlogTop Handy SQL Features for Data Scientists

    ...aring problem. He is interested in product marketing, and analytics. His latest venture Hackr.io recommends the best Data Science tutorial and online programming courses for every programming language. All the tutorials are submitted and voted by the programming community. Related: Is SQL needed to...

    https://www.kdnuggets.com/2019/08/top-handy-sql-feature-data-scientist.html

  • The secret sauce for growing from a data analyst to a data scientist

    ...ng how to use Jupyter will be key for a quicker workflow and data/model exploration. Tip 4: Practise practise and practise for stronger better faster programming skills. Because programming gives you magical powers Entering hackathons, participating in kaggle competitions, working on a personal...

    https://www.kdnuggets.com/2019/08/secret-sauce-growing-from-data-analyst-data-scientist.html

  • Don’t learn Machine Learning in 24 hours

    ...u may come to grips with the syntax, nature, and style of a programming language in 24 hours, but that doesn’t mean you’ve become adept at the art of programming. Because programming isn’t about a language at all. Programming is about intelligent design, a rigorous analysis of time and space...

    https://www.kdnuggets.com/2018/04/dont-learn-machine-learning-24-hours.html

  • Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools">Silver BlogBest Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools

    ...and the large number of application domains it supports. C++ has both high-level and low-level language features, so it is considered a middle-level programming language. Another application of this language is the development of drivers and software that can directly interact with hardware under...

    https://www.kdnuggets.com/2018/12/machine-learning-data-visualization-deep-learning-tools.html

  • How to Learn Python for Data Science the Right Way">Gold BlogHow to Learn Python for Data Science the Right Way

    ...an, Median, Mode, Measure of variability, Probability basics, significant testing, standard deviation, z-scores, confidence intervals, and hypothesis testing (including A/B testing). A very good book to teach practical Statistics is “Practical Statistics for Data Scientists: 50 Essential Concepts"....

    https://www.kdnuggets.com/2019/06/python-data-science-right-way.html

  • Top KDnuggets tweets, Sep 07-13: Dask for #Parallel Programming; Computationally generated Average Face

    ...he (Not So) New #DataScientist Venn Diagram https://t.co/TK129EAt7F #DataScience https://t.co/uQ3EwllZlB Most Clicked: Introducing Dask for #Parallel Programming: Interview with Project Lead Developer @mrocklin https://t.co/6JTaOBBW5z https://t.co/i7wgGv1mDJ Top 10 most engaging Tweets Not so...

    https://www.kdnuggets.com/2016/09/top-tweets-sep07-13.html

  • Comprehensive Guide to Learning Python for Data Analysis and Data Science

    …data (e.g. R, SAS), Python is the only true general purpose programming language. Check out this infographic for a more thorough comparison. Popular Programming Language: In addition, Python is one the most popular programming languages, when compared with other general purpose languages (e.g….

    https://www.kdnuggets.com/2016/04/datacamp-learning-python-data-analysis-data-science.html

  • Top SAS Courses Online

    ...ng to get proficient in SAS Base programming. Certified SAS Base Programmer Certification Training (ed2go.com) https://www.ed2go.com/courses/computer-programming/programming-classes/ctp/certified-sas-base-programmer-certification-training This course is a self-paced online course with a 6-month...

    https://www.kdnuggets.com/2018/05/top-sas-courses-online.html

  • KDnuggets™ News 20:n35, Sep 16: Data Science Skills: Core, Emerging, and Most Wanted; Free From MIT: Intro to CS, Programming in Python

    ...ures Data Science Skills: What is core, what is emerging, and what skill the readers most want to learn? Free From MIT: Intro to Computer Science and Programming in Python 8 AI/Machine Learning Projects To Make Your Portfolio Stand Out Statistics with Julia: The Free eBook AI Papers to Read in 2020...

    https://www.kdnuggets.com/2020/n35.html

  • The Internet of Things in the Cloud

    ...environment. Typical examples of PaaS services are Google’s App Engine and Microsoft’s Azure cloud environment, which both provide a workflow engine, development tools, a testing environment, database integration functionalities, as well as third-party tools and services. Software as a Service...

    https://www.kdnuggets.com/2017/05/internet-of-things-iot-cloud.html

  • United Nations University: Data Science Lead

    ...and will lead on the data aspects of the project. She/he will be responsible for managing relationships with external data providers; overseeing the development of data handling, storage, integration, and presentation within the project; and will lead in the development of data-related analytical...

    https://www.kdnuggets.com/jobs/17/05-25-united-nations-university-data-science-lead.html

  • From Insight-as-a-Service to Insightful Applications

    ...er storage, abundant and cheap processing power and networking bandwidth, and cloud-enabled separation of storage and computing have helped drive the development of insightful applications. Despite our improving understanding of insight generation, the technology advances we have made, and the...

    https://www.kdnuggets.com/2016/05/simoudis-insight-service-insightful-applications.html

  • Top 8 Data Science Use Cases in Gaming

    ...various industries and improved the principles of their functioning forever. It has brought various businesses to a qualitatively new level of their development. The industry of gaming is no exception here. Moreover, data science techniques and methodologies have become integral parts of games...

    https://www.kdnuggets.com/2019/04/top-8-data-science-use-cases-gaming.html

  • The Artificial ‘Artificial Intelligence’ Bubble and the Future of Cybersecurity

    ...iction – it’s already happening. And its continued development is, IMHO, not only the most likely, but also the most beneficial route forward for the development of mankind. But will that further development of the merging of man and machine go so far as to reach the point of technological...

    https://www.kdnuggets.com/2017/06/kaspersky-artificial-intelligence-bubble-future-cybersecurity.html

  • Sr. Capability Implementation Manager, Machine Learning

    ...ent responses and other educational texts into ETS Capabilities. Apply technical and software engineering skills in executing projects and capability development in support of educational products and services. Incorporate best practices in machine learning into the development and evaluation...

    https://www.kdnuggets.com/jobs/13/06-06-ets-sr-capability-implementation-manager-machine-learning.html

  • Boeing: Big Data Architect – Level 4/5

    .... An employee will typically work on multi-year projects that end with capability transitions. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Business Unit. An employee will work on a small...

    https://www.kdnuggets.com/jobs/15/11-14-boeing-big-data-architect.html

  • Kobielus Predictions for Data Science in 2017

    ...sharing paradigm; maintain auditable project logs for algorithmic transparency, and enforce robust tracking and governance of data, models, and other development artifacts. Within increasingly federated data-science development teams, more training data curation will be sourced from open...

    https://www.kdnuggets.com/2016/12/ibm-kobielus-predictions-data-science-2017.html

  • Vencore: Software Engineer, Machine Learning

    ...), Python development in a Linux environment Desired Skills: Algorithm development Statistics/Biostatistics/Operations Research background R Language Development Configuration management: SVN, Github Development environments: RStudio, Jupyter, Eclipse, Spyder, Anaconda Machine learning frame works:...

    https://www.kdnuggets.com/jobs/16/11-23-vencore-software-engineer-machine-learning.html

  • Top 10 Technology Trends for 2020">Silver BlogTop 10 Technology Trends for 2020

    ...d create greater value.   Trend 8: Intelligent transportation will accelerate its implementation in various scenes such as parks and cities. The development of autonomous vehicles is becoming more rational, and the market will be more confident in the development of intelligent driving in the...

    https://www.kdnuggets.com/2020/01/top-10-technology-trends-2020.html

  • Equifax: Senior Director, Search-Match & Data-Linking

    ...rategies that solve customer business problems Design innovative search-match solutions and lead the development of those solutions (Proof of Concept development, business case development, feasibility analysis, prototyping through full new product deliverables) Internal Business Development – work...

    https://www.kdnuggets.com/jobs/16/10-14-equifax-director-search-data-linking.html

  • AT&T: Lead Product Development Mgr, Big Data Algorithms and Insights

    ...g insights with tremendous value. As Lead product Development Manager for algorithms and insights, you will work closely with the Director of Product Development to lead all aspects of advanced analytics, novel algorithms, interactions with scientific teams currently working on product definitions,...

    https://www.kdnuggets.com/jobs/14/03-19-att-lead-product-development-mgr-big-data-algorithms-insights.html

  • Amazon: Business Intelligence Engineer, Mobile Business Development

    ...obile site/application traffic, understand customer behavior, feature performance and accurately calculate ROI across multiple marketing and Business Development channels. As a BI Engineer working on the analytics platform, you will be developing and supporting the analytic technologies to give our...

    https://www.kdnuggets.com/jobs/14/04-17-amazon-bi-engineer-mobile-business-development.html

  • Webinar: Credit Scorecard Development, Sep 26

    ...gers need closed-loop processes and tools to meet requirements while optimizing revenue growth. Join us for a complimentary webinar, Credit Scorecard Development, led by Dr. Mamdouh Refaat, industry expert and Chief Data Scientist. Register to learn how to: Create automated and scalable credit...

    https://www.kdnuggets.com/2013/09/angoss-credit-scorecard-development-sep-26-webinar.html

  • Walmart: Systems Analyst (Developer, Data Science)

    ...mentation on Hadoop Experience in Spark and NoSQL 3 years experience leading a technical team. 6 years of development experience in C/C++. 6 years of development experience in Java. 6 years of development experience in Microsoft .Net. 6 years of development experience in SQL technology. 6 years of...

    https://www.kdnuggets.com/jobs/17/11-03-walmart-systems-analyst.html

  • Unsupervised Investments (II): A Guide to AI Accelerators and Incubators

    ....ai, an open source machine learning database; Eonify (Los Angeles): they focus on healthcare vertical, so they offer perks such as help for Protocol development, regulatory applications, clinical trial design, or grant writing. There is not much more info out there about their accelerator program...

    https://www.kdnuggets.com/2017/05/unsupervised-investments-guide-ai-accelerators-incubators.html

  • Accenture: Financial Services Analytics Senior Manager

    ...ent, selling and proposal writing for analytics within financial services industry Value Proposition Development Solution Configuration Business Case Development Proposal Development Solution Realization Approach Development Proven problem analysis and problem solving skills Strong customer...

    https://www.kdnuggets.com/jobs/17/08-09-accenture-financial-services-analytics-senior-manager.html

  • Elsevier: Machine Learning Scientist

    ...ns to find the right clinical answers, and we support nurses and other healthcare professionals throughout their careers. We offer exceptional career development prospects, a chance to work at the forefront of technological development, and the opportunity to contribute to change. We need talented...

    https://www.kdnuggets.com/jobs/17/10-09-elsevier-machine-learning-scientist.html

  • Customer-Driven Product Development for the Future, June 6 webinar

    ...products to meet the future needs of your customer and thrive in the future of insurance. Join the webinar: Balancing Risk: Defining Value in Product Development Innovation for Customer and Carrier (June 6th, 10am CT). Register for this free webinar for strategies to achieve rapid and...

    https://www.kdnuggets.com/2018/05/insurancenexus-balancing-risk-value-innovation-june-webinar.html

  • Marketing Analytics for Data Rich Environments

    ...e for online behaviors. The IoT will change the way people interact with their man-made environment, become a major source of new product and service development, and generate massive data in the process. In addition, the rapid development towards NUI enables people to interact with their devices...

    https://www.kdnuggets.com/2017/07/marketing-analytics-data-rich-environments.html

  • Bot or Not: an end-to-end data analysis in Python

    …cess the data, develop, and test a classifier all with Python. We’ve also seen that there’s room for improvement. Utilities for fast, iterative model development are rich in R’s caret package, and caret serves as a great model for future development in scikit-learn. Bio: Erin Shellman is a…

    https://www.kdnuggets.com/2015/11/bot-not-data-analysis-python.html

  • Webinar: Credit Scorecard Development

    ...gers need closed-loop processes and tools to meet requirements while optimizing revenue growth. Join us for a complimentary webinar, Credit Scorecard Development, led by Dr. Mamdouh Refaat, industry expert and Chief Data Scientist. Register to learn how to: Create automated and scalable credit...

    https://www.kdnuggets.com/2013/09/angoss-credit-scorecard-development-sep-26-webinar2.html

  • Is data mining the new tool for gamers seeking pre-launch secrets?

    ...g Discover which assets are not getting used Personalize i.e. make games that adapt to the player However, with the increasing trend of smart players hacking into the game software data, Gaming companies need to be very cautious about the raw data accompanied in their game installations. Well,...

    https://www.kdnuggets.com/2014/02/data-mining-tool-gamers-pre-launch-secrets.html

  • Humans & Machines Ethics Framework: Assessing Machine Learning Influence

    ...to avoid the risks that come with the increasing public scrutiny of ethical lapses. Humans & Machines Ethics Canvas helps the issue of deciding on an ethical approach by addressing the following: What should be the base for our ethical approach? How should standards be applied to a specific...

    https://www.kdnuggets.com/2016/10/humans-machines-ethics-framework-influence.html

  • Aspentech: Sr Principal Data Scientist

    ...area is desired. 10+ years of experience in data analysis and software development. 4+ years of industrial experience in senior roles within software development teams. Top notch programming skills in C++, C#, Python. Expert understanding of time series analysis, predictive modeling, machine...

    https://www.kdnuggets.com/jobs/18/03-20-aspentech-senior-principal-data-scientist.html

  • Moosejaw: Sr. Manager of Customer Experience and Analytics [Madison Heights, MI]

    ...ty. Don't worry, you won't be expected to do it all by yourself. This leadership role includes a team of four direct reports across email, A/B and UI testing, and data analytics. You will be responsible for prioritizing the team's work around understanding and communicating the customer experience...

    https://www.kdnuggets.com/jobs/19/03-08-moosejaw-sr-manager-customer-experience-analytics.html

  • Step Forward Feature Selection: A Practical Example in Python

    ...random_state= 42) y_train = y_train.ravel() y_test = y_test.ravel() print('Training dataset shape:', X_train.shape, y_train.shape) print('Testing dataset shape:', X_test.shape, y_test.shape)   Training dataset shape: (3673, 11) (3673,) Testing dataset shape: (1225, 11) (1225,)...

    https://www.kdnuggets.com/2018/06/step-forward-feature-selection-python.html

  • Interview: Vince Darley, King.com on the Serious Analytics behind Casual Gaming

    ...are the common problems with A-B testing? What are your recommendations to avoid/mitigate those problems? VD: Well I could speak for hours about A-B testing, so let’s focus on just a few core difficulties. First of all in our industry (free to play games), almost all metrics are very...

    https://www.kdnuggets.com/2015/03/interview-vince-darley-king-analytics-gaming.html

  • Uber’s Ludwig is an Open Source Framework for Low-Code Machine Learning">Silver BlogUber’s Ludwig is an Open Source Framework for Low-Code Machine Learning

    ...eeing relevant innovations. One of the most complete solutions to tackle that problem came from Uber AI Labs. Ludwig, is a framework for training and testing machine learning models without the need to write code. Recently, Uber released a second version of Ludwig that includes major enhancements...

    https://www.kdnuggets.com/2020/06/uber-ludwig-open-source-framework-machine-learning.html

  • Comparing Machine Learning Models: Statistical vs. Practical Significance

    ...size becomes useful. There’s more to do — we could try to find the power or the test and the optimal sample size. But we’re good for now. Hypothesis testing could be really useful in model comparison if it’s done right. Setting up H0 & H1, calculating the test-statistic and finding the p-value...

    https://www.kdnuggets.com/2019/01/comparing-machine-learning-models-statistical-vs-practical-significance.html

  • Why the Data Scientist and Data Engineer Need to Understand Virtualization in the Cloud

    ...t to bare metal. There was an early misconception that virtualization in this way would slow the big data analytics workload down. However, extensive testing has shown that quite the opposite is true. Performance is as good as bare metal for virtualized private cloud-based big data workloads that...

    https://www.kdnuggets.com/2017/01/data-scientist-engineer-understand-virtualization-cloud.html

  • How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?">Gold BlogHow Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?

    ...niform, normal, binomial, chi-square, student’s t-distribution, central limit theorem, d) sampling, measurement, error, random numbers, e) hypothesis testing, A/B testing, confidence intervals, p-values, f) ANOVA, g) linear regression, h) power, effect size, testing means, i) research studies and...

    https://www.kdnuggets.com/2017/12/mathematics-needed-learn-data-science-machine-learning.html

  • KDnuggets™ News 14:n05, Mar 5

    ...f Data Mining - Mar 3, 2014. Using R with Twitter - great tutorial in Rstudio; The Dos and Donts of Data Mining; Wolfram Breakthrough Knowledge-based Programming Language; Online Data Science Certificates in Analytics and Programming for Data Science. Top KDnuggets tweets, Feb 26-27: Facebook...

    https://www.kdnuggets.com/2014/n05.html

  • What Is Data Science, and What Does a Data Scientist Do?">Gold Blog, Mar 2017What Is Data Science, and What Does a Data Scientist Do?

    ...Data Scientist’s Toolbox   We’ll finish with an overview of some of the typical tools in the data scientist’s proverbial toolbox. Since computer programming is a large component, data scientists must be proficient with programming languages such as R, Python, SQL, Scala, Julia, Java, and so...

    https://www.kdnuggets.com/2017/03/data-science-data-scientist-do.html

  • Every Intro to Data Science Course on the Internet, Ranked">Silver Blog, March 2017Every Intro to Data Science Course on the Internet, Ranked

    ...Up   This is the third of a six-piece series that covers the best online courses for launching yourself into the data science field. We covered programming in the first article and statistics and probability in the second article. The remainder of the series will cover other data science core...

    https://www.kdnuggets.com/2017/03/every-intro-data-science-course-ranked.html

  • 15 Minute Guide to Choose Effective Courses for Machine Learning and Data Science

    ...s still out there but definitely you should consider completing this series if you want to brush over the latest trends in deep learning. Even if the programming assignments look hard and you want to stay out of programming a deep network by hand (you can argue there are always excellent...

    https://www.kdnuggets.com/2017/12/guide-effective-courses-machine-learning-data-science.html

  • Data Science for Javascript Developers 

    ...ly language that runs both on the client and server. NPM, node’s packaging system, is great. For many, Javascript is their first (and sometimes only) programming language. But when it comes to data science, it is all about Python (or R). While Python is a great programming language, I don’t see any...

    https://www.kdnuggets.com/2018/03/data-science-javascript-developers.html

  • The Two Sides of Getting a Job as a Data Scientist">Gold BlogThe Two Sides of Getting a Job as a Data Scientist

    ...even when you don’t want to! 10. Provide honest, critical feedback as a reviewer and be open to feedback when your code is being reviewed Whiteboard programming. This maybe the harderst and more intimidating part of any process. Programming in a blank space. Just you and a piece of paper. Practice...

    https://www.kdnuggets.com/2018/03/two-sides-getting-job-data-scientist.html

  • Top KDnuggets tweets, May 25-31: 19 Free eBooks to learn #programming with #Python; Awesome collection of public datasets on Github

    Most popular @KDnuggets tweets for May 25-31 were Most Retweeted: #DataScience foundations: 19 Free eBooks to learn #programming with #Python https://t.co/sU724yMGDv https://t.co/hX6KPFBug7 Most Favorited: Check out this awesome collection of public #datasets on @Github! https://t.co/kU7ffMvD4x...

    https://www.kdnuggets.com/2016/06/top-tweets-may25-31.html

  • Data Science for Internet of Things – practitioner course

    ...nd skills – ex Apache Spark, R, Azure BI etc h) We are exclusively focused on IoT (although the concepts can apply to any other vertical) Approach to Programming The main Programming focus is on Spark (Scala, SQL and R). We will also use an ioT platform (like Thingworx) The participants need to be...

    https://www.kdnuggets.com/2015/09/data-science-iot-practitioner-course.html

  • Top news for Feb 3-9: KDD-2013 Call for Papers; Microsoft F# for Big Data programming

    Most viewed news items KDD-2013 Call for Papers - Feb 5, 2013. Microsoft F# for Big Data programming - Feb 4, 2013. Poll Results: How long to become a good data scientist ( comments) - Jan 29, 2013. Top news for Jan 27 - Feb 2: 5 years to become a data scientist; Particle Physics and...

    https://www.kdnuggets.com/2013/02/top-news-week-Feb-3.html

  • Statistics.com Online Data Science Courses and Certificates

    ...ytics NLP using NLTK Natural Lang. Processing (NLP) * Sentiment Analysis * Text Mining * Using R Data Mining - R Mapping in R R Graphics R Modeling R Programming Advanced R Programming Intermediate * R Programming Intro 1 * R Programming Intro 2 * R Statistics R ggplot2 IT/Programming Applied...

    https://www.kdnuggets.com/2015/02/statisticscom-online-data-science-courses-certificates.html

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