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  • Is Data Science for Me? 14 Self-examination Questions to Consider">Silver BlogIs Data Science for Me? 14 Self-examination Questions to Consider

    ...e implication of your project. Be truthful to yourself. Avoid manipulating data or using a method that will intentionally produce bias in results. Be ethical in all phases, from data collection and analysis to model building, analysis, testing, and application. Avoid fabricating results for the...

    https://www.kdnuggets.com/2020/11/data-science-14-self-examination-questions.html

  • New York Community Bank: Sr. Stress Testing Quantitative Risk Modeler

    ...eas. Critically reviews financial regulations and develops quantitative methods that meet regulatory requirements. Performs back-testing, sensitivity testing, and stress testing of models. Identifies and critically evaluates internal loan data elements and external market data for use in risk...

    https://www.kdnuggets.com/jobs/14/12-19-mynycb-stress-testing-quantitative-risk-modeler-sr.html

  • The Best Metric to Measure Accuracy of Classification Models

    …be the same for Scenario A and D. Testing Metrics Sensitivity Specificity Precision F1 Score MCC 1 0.90 1 1 0.90   Except for MCC all the other testing metrics have changed. Summary of Testing Metrics for all the scenarios: Scenario Sensitivity Specificity Precision F1 Score MCC A 0.90 1.00…

    https://www.kdnuggets.com/2016/12/best-metric-measure-accuracy-classification-models.html

  • Hypothesis Test for Real Problems

    ...t hypothesis ought to be clear, detailed, and reliable with the data. In the wake of building up the hypothesis, the following stage is validating or testing the hypothesis. Testing of hypothesis includes the process that empowers to concur or differ with the expressed hypothesis.   Bio:...

    https://www.kdnuggets.com/2020/08/hypothesis-test-real-problems.html

  • 10 Underappreciated Python Packages for Machine Learning Practitioners">Gold Blog10 Underappreciated Python Packages for Machine Learning Practitioners

    ...see deep learning OOD papers not even benchmark the results obtained by their shiny new deep-approaches with what could be possible legacy hypothesis testing algorithms. With this setting, we now introduce HYPPO. HYPPO (HYPothesis Testing in PythOn, pronounced “Hippo”) is arguably the most...

    https://www.kdnuggets.com/2021/01/10-underappreciated-python-packages-machine-learning-practitioners.html

  • Data Scientist

    ...uses, import and/or move data between stores, and take random samples. Maintain data dictionaries to support knowledge transfer. Systems Analysis and Development (25%) Contribute development effort and high-level planning to web-based applications that improve business processes across University...

    https://www.kdnuggets.com/jobs/13/05-31-umich-data-scientist.html

  • H2O Framework for Machine Learning

    ...irst iteration we use 1st and 2nd folds for training and 3rd for testing. On the second iteration 1st and 3rd folds are used for training and 2nd for testing. On the third iteration the 1st folds is used for testing and the 2nd and 3rd are used for training. Cross validation allows to estimate the...

    https://www.kdnuggets.com/2020/01/h2o-framework-machine-learning.html

  • Simple & Intuitive Ensemble Learning in R

    ...ata ← data.frame(ensembler_return[4])   Examples   Classification   library(“metaEnsembleR”) attach(iris) data(“iris”) unseen_new_data_testing ← iris[130:150,] write.csv(unseen_new_data_testing, ‘unseen_check.csv’, fileEncoding = ‘UTF-8’, row.names = F) ensembler_return ←...

    https://www.kdnuggets.com/2020/12/simple-intuitive-meta-learning-r.html

  • Fighting Coronavirus With AI: Improving Testing with Deep Learning and Computer Vision

    ...ossible, and if possible, to test each symptomatic person for coronavirus, regardless of travel or contact history. When it comes to the coronavirus, testing becomes really important because you might not show symptoms from 5-14 days (this is called the Incubation Period). In this time, if you're...

    https://www.kdnuggets.com/2020/04/fighting-coronavirus-ai-improving-testing-deep-learning-computer-vision.html

  • 5 “Clean Code” Tips That Will Dramatically Improve Your Productivity

    ...nd functions make code approximately 9832741892374 times easier to read... But seriously they really do. First off, they allow for very isolated unit testing. If the piece of code you are testing is small, it’s easy to source and debug any issues that come up in the test or during deployment. Small...

    https://www.kdnuggets.com/2018/10/5-clean-code-tips-dramatically-improve-productivity.html

  • 2018’s Top 7 Python Libraries for Data Science and AI">Gold Blog2018’s Top 7 Python Libraries for Data Science and AI

    ...loat64) features = np.delete(tpot_data.view(np.float64).reshape(tpot_data.size, -1), tpot_data.dtype.names.index('class'), axis=1) training_features, testing_features, training_classes, testing_classes = \ train_test_split(features, tpot_data['class'], random_state=42) exported_pipeline =...

    https://www.kdnuggets.com/2019/01/vazquez-2018-top-7-python-libraries.html

  • Bringing Machine Learning Research to Product Commercialization

    ...lists as a starting point, and subsequently very specifically curate scenarios which test these capabilities on a full software stack. Scenario based testing is used by many industry leaders such as Waymo or Uber. It is uniquely useful because it accelerates development, optimizes resource usage...

    https://www.kdnuggets.com/2018/11/bringing-machine-learning-research-product-commercialization.html

  • Cisco: Support Bot Designer/Engineer [Raleigh, NC]

    ...simulation tools and technologies. Related Work Experience 2+ years Business / IT Analyst or Engineer experience 2+ years’ experience developing and testing web and mobile applications using programming languages such as Java, JavaScript, Python, R, .NET, Node.js, with micro services, REST APIs,...

    https://www.kdnuggets.com/jobs/19/03-05-cisco-support-bot-designer-engineer.html

  • Cisco: Machine Learning Engineer/Support Bot Designer [Raleigh, NC]

    ...simulation tools and technologies. Related Work Experience 2+ years Business / IT Analyst or Engineer experience 2+ years’ experience developing and testing web and mobile applications using programming languages such as Java, JavaScript, Python, R, .NET, Node.js, with micro services, REST APIs,...

    https://www.kdnuggets.com/jobs/19/03-29-cisco-machine-learning-engineer-support-bot-b.html

  • The Difference Between Data Scientists and Data Engineers

    ...ithm used by the data scientist in R to a more robust production platform. Overlapping Skills Certainly, there are overlapping skills with respect to programming, although a data engineer’s programming skills often outweigh those of a data scientist. For example, having a data scientist program a...

    https://www.kdnuggets.com/2019/03/odsc-difference-data-scientists-data-engineers.html

  • KDnuggets™ News 19:n33, Sep 4: Data Science Skills Poll; Object-oriented Programming for Data Scientists

    ...earning-related skills you currently have, and which skills you want to add or improve!   Features New Poll: Data Science Skills Object-oriented programming for data scientists: Build your ML estimator Deep Learning Next Step: Transformers and Attention Mechanism R Users' Salaries from the...

    https://www.kdnuggets.com/2019/n33.html

  • Platinum Blogfastcore: An Underrated Python Library">Silver BlogPlatinum 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

  • 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

  • Platinum BlogHow to Become a (Good) Data Scientist – Beginner Guide">Silver BlogPlatinum BlogHow to Become a (Good) Data Scientist – Beginner Guide

    ...ata scientists. Programming Data Science is an exciting field to work in, as it combines advanced statistical and quantitative skills with real-world programming ability. Depending on your background, you are free to choose a programming language to your liking. The most popular in the Data Science...

    https://www.kdnuggets.com/2019/10/good-data-scientist-beginner-guide.html

  • Top KDnuggets tweets, Jan 04-10: Cartoon: When Self-Driving Car takes you too far; A massive collection of free programming books

    ...low_ian https://t.co/1riBvzO8W7 https://t.co/GrOVzzkRxL Top 10 most engaging Tweets A massive collection of (what we assume to be legitimately) free #programming books: https://t.co/31LzaLStn6 https://t.co/ledMPOfUPl #AI #DataScience #MachineLearning: Main Developments 2016, Key Trends 2017...

    https://www.kdnuggets.com/2017/01/top-tweets-jan04-10.html

  • How to Become a Data Scientist: The Definitive Guide">Silver Blog, Aug 2017How to Become a Data Scientist: The Definitive Guide

    ...ome libraries tend to handle a lot of the linear algebra tasks for you. But it is still important to understand how these algorithms work!   The Programming   “Measuring programming progress by lines of code is like measuring aircraft building progress by weight.” — Bill Gates The data...

    https://www.kdnuggets.com/2017/08/become-data-scientist-definitive-guide.html

  • R Learning Path: From beginner to expert in R in 7 steps

    ...with offline interactive R coding exercises. There is also an online version available that requires no set-up. On edX you can take Introduction to R Programming by Microsoft. The R Programming course by Johns Hopkins on Coursera.   Next to these online tutorials there are also some very good...

    https://www.kdnuggets.com/2016/03/datacamp-r-learning-path-7-steps.html

  • COMAD India Graph Mining Programming contest

    Graph Mining Programming Contest at 20th International Conference on Management of Data COMAD 2014 17th-19th December, 2014 Hyderabad, India COMAD 2014 announces a programming contest on mining densest subgraphs from a given graph, which correspond to communities in a variety of social networks....

    https://www.kdnuggets.com/2014/09/comad-india-graph-mining-programming-contest.html

  • Top 6 Data Science Programs for Beginners

    ...Science with Python Nanodegree program will be ready to start a career in data science or business analytics. Enroll today to get started.   3. Programming for Data Science with R The Programming for Data Science with R Nanodegree program is just like the Programming for Data Science with...

    https://www.kdnuggets.com/2020/11/udacity-data-science-programs-beginners.html

  • R Programming: Who, Where and What

    comments By Ashwin Ramasamy, (ContractIQ). R Programming is on the rise year on year in popularity and is among the top 10 programming languages over the last few years. Data science as a discipline is becoming mainstream, driven largely by fast growing internet & software technology…

    https://www.kdnuggets.com/2015/08/r-programming-who-where-what.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

  • How The New World of AI is Driving a New World of Processor Development

    ...ange of advanced design and manufacturing capabilities, integration of diverse circuit IP, and management and coordination of large interdisciplinary development teams — traditionally the province of big, specialized enterprises, not startups. And in addition to fundamental development hurdles...

    https://www.kdnuggets.com/2020/12/samsung-ai-processor-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

  • 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

  • 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

  • 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

  • 20 Core Data Science Concepts for Beginners">Platinum Blog20 Core Data Science Concepts for Beginners

    ...achine learning, the dataset is often partitioned into training and testing sets. The model is trained on the training dataset and then tested on the testing dataset. The testing dataset thus acts as the unseen dataset, which can be used to estimate a generalization error (the error expected when...

    https://www.kdnuggets.com/2020/12/20-core-data-science-concepts-beginners.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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • The 7 Best Open Source AI Libraries You May Not Have Heard Of

    ...ense — GitHub Stars: 481 — repo: https://github.com/SciML/DiffEqFlux.jl/ The DiffEqFlux.jl logo, from the MIT licensed documentation files. The Julia programming language is a relatively young programming language (about 9 years old, compared to Python’s 30 years) designed specifically for...

    https://www.kdnuggets.com/2021/06/7-open-source-ai-libraries.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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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 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

  • Cloud Computing, Data Science and ML Trends in 2020–2022: The battle of giants">Gold BlogCloud Computing, Data Science and ML Trends in 2020–2022: The battle of giants

    ...sp; In addition to the insights above, we see that the top number of cloud computing product users fall into the following clusters in terms of their programming experience 5–10 years of experience 3–5 years of experience 10–20 years of experience Juniors and super-seniors (20+ years of programming...

    https://www.kdnuggets.com/2021/01/cloud-computing-data-science-ml-trends-2020-2022-battle-giants.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

  • 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

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

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  • SapientNitro: Sr. Manager Marketing Analytics

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

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  • Baidu Research: 10 Technology Trends in 2021

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

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  • 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

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  • American Family Insurance: Analytics Strategy & Integration Director

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  • Ethics should be a part of Data Science Training

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  • Ethical Implications Of Industrialized Analytics

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  • 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,...

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  • Machine Ethics and Artificial Moral Agents

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  • 42 Essential Quotes by Data Science Thought Leaders

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

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  • 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...

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  • 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...

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  • 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…

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  • 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...

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

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

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  • 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,...

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  • 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...

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

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  • Accenture: Big Data Engineer

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  • 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...

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  • Top SAS Courses Online

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  • My Data Science Online Learning Journey on Coursera

    ...nvolutional Neural Networks and Sequence Models. Andrew Ng as usual is perfect in teaching difficult concepts regarding deep learning algorithms. The programming assignments are interesting, which let you to implement various deep learning algorithms with TensorFlow, one of the most used deep...

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  • 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...

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  • Free From MIT: Intro to Computational Thinking with Julia

    ...cle and the course that it is spotlighting, Julia is the language utilized in this free offering from MIT. Whether you are just starting out learning programming, or you are beginning your data science journey, or you are a skilled data scientist with advanced programming skills in a language other...

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  • 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...

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  • 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...

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  • 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….

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  • 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...

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  • 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...

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  • 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...

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  • 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"....

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  • 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...

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  • 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...

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  • 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...

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  • 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...

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  • 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...

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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

  • 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...

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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...

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  • 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

  • A Solid Investment: Banking on Talent Development.

    .... That's why it's using its training academy to invest in its most important capital - employees. The bank partnered with SAS to customize a tailored development training program – of both hard and soft skills - that improved skills and knowledge, while strengthening retention. Tarcisio Pontes,...

    https://www.kdnuggets.com/2021/03/sas-banking-talent-development.html

  • A Solid Investment: Banking on Talent Development

    .... That's why it's using its training academy to invest in its most important capital - employees. The bank partnered with SAS to customize a tailored development training program – of both hard and soft skills - that improved skills and knowledge, while strengthening retention. Tarcisio Pontes,...

    https://www.kdnuggets.com/2021/02/sas-solid-investment-banking-talent-development.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

  • 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

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