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  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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 Most Useful Machine Learning Tools of 2020

    ...e requests, task management, and wikis for every project. Alternative: DVC , BitBucket , GitLab   PyCharm Community Edition   An integrated development environment (IDE) used in computer programming, specifically for the Python language. It is developed by the Czech company JetBrains. It...

    https://www.kdnuggets.com/2020/03/most-useful-machine-learning-tools-2020.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

  • Data Analytics for Business Leaders Explained

    ...e as they try to distill immensely complex subject areas into comprehensible bite-size pieces. Let's begin!   Linear Programming & NonLinear Programming: Example: Solver/ SolverTable within Excel Linear programming is an optimization method that allows users to maximize (or minimize) an...

    https://www.kdnuggets.com/2014/09/data-analytics-business-leaders-explained.html

  • Interview: Peter Alvaro, UC Berkeley, on Managing Asynchrony and Partial Failure

    ...PA: There is so much important work to be done. Here are just a few things that I can’t wait to get started on. Current debuggers, like a majority of programming languages, still reflect a sequential, single-site model of computation. Just as I explored disorderly programming as a way of raising...

    https://www.kdnuggets.com/2014/12/interview-peter-alvaro-berkeley-asynchrony-partial-failure.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

  • Hiring Data Scientists: What to look for?

    ...cular business problem. In order to successfully perform these steps, programming needs to be done. Hence, a good data scientist should possess sound programming skills in e.g. R, Python, SAS … The programming language itself is not that important as such, as long as he/she is familiar with the...

    https://www.kdnuggets.com/2014/09/hiring-data-scientist-what-to-look-for.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

  • New Poll: Primary Programming Language for Analytics, Data Mining, Data Science?

    By Gregory Piatetsky, @kdnuggets. While Data Science platforms are getting easier to use, data scientists frequently need to go beyond them and actually code in a lower-level language for their tasks. Recent KDnuggets Analytics, Data Mining Software Poll showed that R and Python are the top 2 such...

    https://www.kdnuggets.com/2015/06/poll-programming-language-analytics-data-mining-data-science.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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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)">Gold 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, 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

  • 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, 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

  • 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

  • ModelOps – Get it done. 3 Day Webinar Mini-Series

    ...Model Development Life Cycle This session will cover the motivation for, and the details of, building an MDLC Day Two (Wednesday, February 20th):A/B testing a model in an AWS environment while simultaneously capturing model lineage data. This session will share an approach to A/B testing a linear...

    https://www.kdnuggets.com/2019/02/opendatagroup-modelops-webinar-series.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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • The Internet of Things in the Cloud

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

  • Top 8 Data Science Use Cases in Gaming

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  • Sr. Capability Implementation Manager, Machine Learning

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  • Amazon: Business Intelligence Engineer, Mobile Business Development

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

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  • Webinar: Credit Scorecard Development, Sep 26

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

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

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

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  • Marketing Analytics for Data Rich Environments

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  • Accenture: Financial Services Analytics Senior Manager

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

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  • 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:...

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  • 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

  • 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

  • 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

  • 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...

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  • 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

  • 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

  • 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]

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    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

  • 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

  • Exclusive: Cognitive Mining, Data Mining, and StatSoft – Interview with Dr. Thomas Hill

    ...f they depend on Excel or text files, or distributed file systems and web-based data services and schedulers. One way to look at our platform is as a development platform that is highly compliant with standard interfaces, programming and scripting languages, and so on. We know for sure that this...

    https://www.kdnuggets.com/2013/10/cognitive-mining-data-mining-interview-statsoft-thomas-hill.html

  • Top 13 Skills To Become a Rockstar Data Scientist">Platinum BlogTop 13 Skills To Become a Rockstar Data Scientist

    ...g   Python is the most common coding language I typically see required in data science roles, along with Java, Perl, or C/C++. Python is a great programming language for data scientists. This is why 40 percent of respondents surveyed by O’Reilly use Python as their major programming language....

    https://www.kdnuggets.com/2019/07/top-13-skills-become-rockstar-data-scientist.html

  • KDnuggets™ News 19:n20, May 22: 7 Steps to Mastering SQL for Data Science; How to build Math Programming Skills

    ...t 2 days to vote in KDnuggets Data Science Software Poll.   Features 7 Steps to Mastering SQL for Data Science — 2019 Edition Mathematical programming - Key Habit to Build Up for Advancing Data Science PyCharm for Data Scientists A complete guide to K-means clustering algorithm Building...

    https://www.kdnuggets.com/2019/n20.html

  • Research into 1,001 Data Scientist LinkedIn Profiles, the latest

    ...rtion of the total data scientist pool is new. In fact, in 2020, 52% of the cohort held the title ‘data scientist’ at their previous position.   Programming languages   Programming Languages in 2020. The programming skills a data scientist needs are arguably the most interesting area of...

    https://www.kdnuggets.com/2020/03/1001-data-scientist-linkedin-profiles-latest.html

  • Top Stories, Aug 26 – Sep 1: Object-oriented programming for data scientists; Why Data Visualization Is The Most Important Skill in a Data Analyst Arsenal

    Most Popular Last Week Object-oriented programming for data scientists: Build your ML estimator, by Tirthajyoti Sarkar Why Data Visualization Is The Most Important Skill in a Data Analyst Arsenal, by Simpliv New Poll: Data Science Skills Top Handy SQL Features for Data Scientists R Users Salaries...

    https://www.kdnuggets.com/2019/09/top-news-week-0826-0901.html

  • Top Stories, May 13-19: 7 Steps to Mastering SQL for Data Science — 2019 Edition; Mathematical programming — Key Habit to Build Up for Advancing Data Science

    Most Popular Last Week Mathematical programming — Key Habit to Build Up for Advancing Data Science, by Tirthajyoti Sarkar How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls, by Vegard Flovik 7 Steps to Mastering SQL for Data Science 2019 Edition The Third...

    https://www.kdnuggets.com/2019/05/top-news-week-0513-0519.html

  • 9 Must-have skills you need to become a Data Scientist, updated">Platinum Blog9 Must-have skills you need to become a Data Scientist, updated

    ...n Coding Python is the most common coding language I typically see required in data science roles, along with Java, Perl, or C/C++. Python is a great programming language for data scientists. This is why 40 percent of respondents surveyed by O'Reilly use Python as their major programming language....

    https://www.kdnuggets.com/2018/05/simplilearn-9-must-have-skills-data-scientist.html

  • 10 More Free Must-Read Books for Machine Learning and Data Science">Platinum Blog10 More Free Must-Read Books for Machine Learning and Data Science

    ...te the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand-no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and...

    https://www.kdnuggets.com/2018/05/10-more-free-must-read-books-for-machine-learning-and-data-science.html

  • Event Processing: Three Important Open Problems

    ...Storm, Heron, etc. Figure 2 shows a breakdown of the usage of programming languages by event processing software. Figure 2: Event Processing Software Programming Language usage. (a) aggregated view (b) breakdown of the programming languages used in different event processing systems. Second, they...

    https://www.kdnuggets.com/2018/05/event-processing-important-open-problems.html

  • The ultimate list of Web Scraping tools and software

    ...wn scraper from scratch This is for code-savvy folks who love experimenting with site layouts and tackle blockage problems and are well-versed in any programming language like Python, R or Perl. Just like their routine programming for any data science project, a student or researcher can easily...

    https://www.kdnuggets.com/2018/07/ultimate-list-web-scraping-tools-software.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

  • Deep Conversations: Lisha Li, Principal at Amplify Partners

    ...our talk at the Age of AI Conference in San Francisco early this year.   LL: My pleasure! I think there are formal definitions of differentiable programming based on functional programming. The things I wanted to highlight in my talk by using that term, and it was timely, given the Facebook...

    https://www.kdnuggets.com/2018/05/deep-conversations-lisha-li-amplify-partners.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

  • National Grid: Dev Ops – Operations Engineer / Sr Ops Engineer – Advanced Analytics

    ...istic manner Ability to manage projects and supervise/mentor other team members Possesses skill set in the disciplines of Modeling, Data Engineering, Programming/Software Development and Statistical & Probabilistic Analyses broadly, with a concentration in one or more Ability to utilize machine...

    https://www.kdnuggets.com/jobs/18/03-21-national-grid-dev-ops.html

  • 6 Goals Every Wannabe Data Scientist Should Make for 2019

    ...language. R and SQL are a couple of other frequently used languages in data science, making them worth investigation. But, as they work to grow their programming language prowess, people must remember it's more helpful for them to know one or two programming languages exceptionally well, rather...

    https://www.kdnuggets.com/2018/11/6-goals-every-wannabe-data-scientist-2019.html

  • Top KDnuggets tweets, Feb 20-26: Learning programming languages for free; Import Your Favorite Libraries into a Jupyter Notebook

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    https://www.kdnuggets.com/2019/02/top-tweets-feb20-26.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

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

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

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  • Genetic Programming, Rough Sets, Fuzzy Logic, and other classification software

    ...ation for Excel. GAtree, genetic induction and visualization of decision trees (free and commercial versions available). Genalytics GA3, uses genetic programming to dynamically build predictive models. GenIQ Model, automatically data mines for new variables, performs variable selection, and then...

    https://www.kdnuggets.com/software/classification-other.html

  • More Free Data Mining, Data Science Books and Resources

    ...istic Gaussian processes. It’s about supervised learning problems, describing models and solutions related to machine learning. Inductive Logic Programming Techniques and Applications by Nada Lavrac and Saso Dzeroski, 1994.An old book about inductive logic programming with great theoretical...

    https://www.kdnuggets.com/2015/03/free-data-mining-data-science-books-resources.html

  • NYC Data Science Academy courses & bootcamps in Data Engineering, Data Science, R, Python, and Machine Learning

    ...ython-data-analysis/ Date: Sept 20, 27, Oct 4, 11, 18 Time: 1:00pm - 5:00pm This five week course is an introduction to data analysis with the Python programming language, and is aimed at beginners. We introduce how to work with different data structure in Python. We covered the most popular...

    https://www.kdnuggets.com/2015/07/nycdatascience-bootcamp-courses-r-python-machine-learning.html

  • Top KDnuggets tweets, May 01-07: The 3 Biggest Mistakes in Learning Data Science; ReinforcementLearning vs. Differentiable Programming; XGBoost Reign

    Most popular @KDnuggets tweets for May 01-07 were Most Retweeted: #ReinforcementLearning vs. Differentiable Programming https://t.co/dRxWINcwfQ https://t.co/x1R7S9Ym2I Most Favorited: Another 10 Free Must-See Courses for Machine Learning and Data Science https://t.co/Humu1CqAea...

    https://www.kdnuggets.com/2019/05/top-tweets-may01-07.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

  • 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

  • JCA: Consultant, Development Expertise

    ...matter what. We are fair and respectful to our clients and to each other. Excellence drives us.    2. POSITION SUMMARY The JCA Consultant (Development Expertise) is a key position in JCA projects at fundraising organizations. The consultant plays a primary role in small to mid-sized...

    https://www.kdnuggets.com/jobs/14/05-07-jca-consultant-development-expertise.html

  • American Family Insurance: Data Science Manager

    ...rs, both internal and external, to gather the data to build best in class data solutions. Interact with company senior leadership as well as Business Development and Strategic Data & Analytics (SD&A) leadership to assist in the development of the strategic direction of data science.  ...

    https://www.kdnuggets.com/jobs/16/02-04-amfam-data-science-manager.html

  • LoyaltyOne: Associate Director, Client Services [Westborough, MA]

    ...mpetitive market position and reflecting client needs and insights Support Precima thought-leadership through internal learning/knowledge-sharing and development as well as via industry networking, case study development and publishing (white-papers/articles) as well as speaking at industry events....

    https://www.kdnuggets.com/jobs/18/12-17-loyaltyone-associate-director-client-services.html

  • Top 8 Data Science Use Cases in Construction

    ...f the construction process. AI-powered software, tools, and smart robots are to make the construction process more efficient and fast.   Product development   Product development is a process of taking the product or service from the concept to the market. New products are to meet the...

    https://www.kdnuggets.com/2019/07/top-8-data-science-use-cases-construction.html

  • Citrix: Machine Learning / AI Architect – Research & Development

    ...dom Fields, Topic Modeling, Game Theory, Mechanism Design, etc.) Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.) Strong hands-on experience with statistical packages and ML libraries (e.g. R, Python scikit learn, Spark MLlib,...

    https://www.kdnuggets.com/jobs/17/11-07-citrix-machine-learning-ai-architect.html

  • Challenge Yourself to Think, Mar 19-22, Las Vegas

    ...ic Tagliere, Senior Vice President, Application Development & Enterprise Architecture, Marriott International Jonah Kowall, Vice President Market Development & Insights, App Dynamics Chris Sinkwitz, Vice President of Applications & Development, Meritage Homes Tony Hansen, Chief...

    https://www.kdnuggets.com/2018/02/corinium-ibm-think-march-las-vegas.html

  • Top Stories, Feb 19-25: Top 20 Python AI and Machine Learning Open Source Projects; Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch

    ...ing Data Scientists Most Shared Last Week Top 20 Python AI and Machine Learning Open Source Projects, by Ilan Reinstein - Feb 20, 2018. Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch, by Fuat Beser - Feb 20, 2018. Want a Job in Data? Learn This - Feb 19, 2018. A...

    https://www.kdnuggets.com/2018/02/top-news-week-0219-0225.html

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