# Tag: Top stories

**Top Stories, Jun 12-18: Top 15 Python Libraries for Data Science in 2017; Deep Learning Papers Reading Roadmap**- Jun 19, 2017.

Top 15 Python Libraries for Data Science in 2017; Deep Learning Papers Reading Roadmap; The Practical Importance of Feature Selection; Understanding Deep Learning Requires Re-thinking Generalization; K-means Clustering with Tableau**Top May Stories: KDnuggets Poll: Software for Analytics, Data Science, Machine Learning; How to Learn Machine Learning in 10 Days**- Jun 13, 2017.

Also Machine Learning Workflows in Python from Scratch Part 1: Data Preparation; Deep Learning - Past, Present, and Future**Top Stories, Jun 5-11: Is Regression Analysis Really Machine Learning?; 6 Interesting Things You Can Do with Python on Facebook Data**- Jun 12, 2017.

Is Regression Analysis Really Machine Learning?; 6 Interesting Things You Can Do with Python on Facebook Data; A Practical Guide to Machine Learning; K-means Clustering with R: Call Detail Record Analysis; Machine Learning in Real Life: Tales from the Trenches to the Cloud**Top Stories, May 29-Jun 4: Machine Learning Workflows in Python from Scratch; Machine Learning Algorithms Cheat Sheet**- Jun 5, 2017.

Machine Learning Workflows in Python from Scratch Part 1: Data Preparation; Which Machine Learning Algorithm Should I Use?; 7 Steps to Mastering Data Preparation with Python; 7 Techniques to Handle Imbalanced Data; Why Does Deep Learning Not Have a Local Minimum?**Top Stories, May 22-28: Analytics, Data Science, Machine Learning Software Poll Results; Machine Learning Crash Course**- May 29, 2017.

New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll; Machine Learning Crash Course: Part 1; Text Mining 101: Mining Information From A Resume; Data science platforms are on the rise and IBM is leading the way; An Introduction to the MXNet Python API**Top Stories, May 15-21: Getting Into Data Science: What You Need to Know; The Best Python Packages for Data Science**- May 22, 2017.

Getting Into Data Science: What You Need to Know; The Best Python Packages for Data Science; HDFS vs. HBase : All you need to know; What are common data quality issues for Big Data and how to handle them?; Teaching the Data Science Process**Top Stories, May 8-14: Annual KDnuggets Data Science Software Poll; Using Deep Learning To Extract Knowledge From Job Descriptions**- May 15, 2017.

New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?; Using Deep Learning To Extract Knowledge From Job Descriptions; Deep Learning Past, Present, and Future; The Guerrilla Guide to Machine Learning with R**Top Stories, May 1-7: How to Learn Machine Learning in 10 Days; Deep Learning – Past, Present, and Future**- May 8, 2017.

How to Learn Machine Learning in 10 Days; Deep Learning – Past, Present, and Future; Keep it simple! How to understand Gradient Descent algorithm; New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?**Top April Stories: 10 Free Must-Read Books for Machine Learning and Data Science**- May 6, 2017.

Also Forrester vs Gartner on Data Science Platforms; Top 20 Recent Research Papers on Machine Learning and Deep Learning.**Top Stories, Apr 24-30: Guerrilla Guide to Machine Learning with Python; Understand the Gradient Descent Algorithm**- May 1, 2017.

The Guerrilla Guide to Machine Learning with Python; How to understand Gradient Descent algorithm; Cartoon: Machine Learning – What They Think I Do; AI & Machine Learning Black Boxes: The Need for Transparency and Accountability; How to Build a Recurrent Neural Network in TensorFlow**Top Stories, Apr 17-23: Awesome Deep Learning: Most Cited Deep Learning Papers; The Value of Exploratory Data Analysis**- Apr 24, 2017.

Awesome Deep Learning: Most Cited Deep Learning Papers; The Value of Exploratory Data Analysis; 10 Free Must-Read Books for Machine Learning and Data Science; Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions; Data Science for the Layman**Top Stories, Apr 10-16: 10 Free Machine Learning & Data Science Books; 5 Machine Learning Projects You Can’t Overlook**- Apr 17, 2017.

10 Free Must-Read Books for Machine Learning and Data Science; 5 Machine Learning Projects You Can No Longer Overlook, April; Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions; Top mistakes data scientists make when dealing with business people**Top Stories, Apr 3-9: Top 20 Machine Learning & Deep Learning Research Papers; Brief History of Artificial Intelligence**- Apr 10, 2017.

Top 20 Recent Research Papers on Machine Learning and Deep Learning; A Brief History of Artificial Intelligence; Medical Image Analysis with Deep Learning; Introduction to Anomaly Detection; The 42 V’s of Big Data and Data Science**Top March Stories: 7 More Steps to Mastering Machine Learning With Python; 50 Companies Leading The AI Revolution, Detailed**- Apr 5, 2017.

Also Every Intro to Data Science Course on the Internet, Ranked; What Is Data Science, and What Does a Data Scientist Do?**Top Stories, Mar 27-Apr 2: Standardization and Specialization in Data Science; What is Structural Equation Modeling?**- Apr 3, 2017.

Standardization and Specialization in Analytics, Data Science, and BI; What is Structural Equation Modeling?; The Best R Packages for Machine Learning; What makes a great data scientist?; Deep Stubborn Networks - A Breakthrough Advance Towards Adversarial Machine Intelligence**Top Stories, Mar 20-26: What Is Data Science, What Does a Data Scientist Do?; The Most Underutilized Function in SQL**- Mar 27, 2017.

What Is Data Science, and What Does a Data Scientist Do?; The Most Underutilized Function in SQL; Getting Started with Deep Learning; Getting Up Close and Personal with Algorithms; How to think like a data scientist to become one**Top Stories, Mar 13-19: 6 Business Concepts Data Science Unicorns Need; 50 Companies Leading The AI Revolution, Detailed**- Mar 20, 2017.

Also 17 More Must-Know Data Science Interview Questions and Answers, Part 3; 7 Types of Data Scientist Job Profiles; Applying Machine Learning To March Madness**Top Stories, Mar 6-12: What Makes a Good Data Science Visualization; A Ridiculously Specific Guide to Getting a Data Science Job**- Mar 13, 2017.

What makes a good data visualization - a Data Scientist perspective; How to Get a Data Science Job: A Ridiculously Specific Guide; Visualizing Time-Series Change; Working With Numpy Matrices: A Handy First Reference; Beginner’s Guide to Customer Segmentation**Top February Stories: 17 More Must-Know Data Science Interview Questions and Answers; 5 Career Paths in Big Data and Data Science, Explained**- Mar 7, 2017.

Also Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers; An Overview of Python Deep Learning Frameworks.**Top Stories, Feb 27-Mar 5: 7 More Steps to Mastering Machine Learning With Python; An Overview of Python Deep Learning Frameworks**- Mar 6, 2017.

7 More Steps to Mastering Machine Learning With Python; An Overview of Python Deep Learning Frameworks; Every Intro to Data Science Course on the Internet, Ranked; The Data Science Project Playbook; Hadoop Is Falling – Why?; Every Intro to Data Science Course on the Internet, Ranked**Top Stories, Feb 20-26: The Anatomy of Deep Learning Frameworks; Gartner 2017 Magic Quadrant for Data Science Platforms**- Feb 27, 2017.

The Anatomy of Deep Learning Frameworks; Gartner 2017 Magic Quadrant for Data Science Platforms; 17 More Must-Know Data Science Interview Questions and Answers; The Gentlest Introduction to Tensorflow - Part 3; The Origins of Big Data**Top Stories, Feb 13-19: 17 More Must-Know Data Science Interview Questions and Answers • Removing Outliers Using Standard Deviation in Python**- Feb 20, 2017.

17 More Must-Know Data Science Interview Questions and Answers • Removing Outliers Using Standard Deviation in Python • Natural Language Processing Key Terms, Explained • KDnuggets Top Blogger: An Interview with Brandon Rohrer**Top Stories, Feb 6-12: 5 Career Paths in Big Data and Data Science, Explained • So What is Big Data?**- Feb 13, 2017.

5 Career Paths in Big Data and Data Science, Explained • So What is Big Data? • Making Python Speak SQL with pandasql • 52 Useful Machine Learning & Prediction APIs, updated • Deep Learning Research Review: NLP**Top January Stories: The Most Popular Language For Machine Learning and Data Science Is …**- Feb 7, 2017.

Also 5 Machine Learning Projects You Can No Longer Overlook; Big Data and the Internet of Things don't make business smarter, Analytics and Data Science do.**Top Stories, Jan 30-Feb 5: Deep Learning Research Review: Natural Language Processing; Data Scientist – best job in America, again**- Feb 6, 2017.

Deep Learning Research Review: Natural Language Processing; Data Scientist – best job in America, again; 5 Free Courses for Getting Started in Artificial Intelligence; Top R Packages for Machine Learning**Top Stories, Jan 23-29: 6 Areas of AI and Machine Learning to Watch Closely; Pandas Cheat Sheet: Data Science and Data Wrangling in Python**- Jan 30, 2017.

6 Areas of AI and Machine Learning to Watch Closely; Pandas Cheat Sheet; Great Collection of Minimal and Clean Implementations of Machine Learning Algorithms; Chatbots on Steroids: 10 Key Machine Learning Capabilities to Fuel Your Chatbot; The Top Predictive Analytics Pitfalls to Avoid**Top Stories, Jan 16-22: Time Series Analysis: A Primer; Deep Learning Can be Applied to Natural Language Processing**- Jan 23, 2017.

Time Series Analysis: A Primer; Deep Learning Can be Applied to Natural Language Processing; The Current State of Automated Machine Learning; Introduction to Forecasting with ARIMA in R; 90 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning**Top Stories, Jan 9-15: The Most Popular Language For Machine Learning and Data Science; Analytics and Data Science Make Business Smarter**- Jan 16, 2017.

The Most Popular Language For Machine Learning and Data Science; Analytics and Data Science Make Business Smarter; Exclusive Interview with Jeremy Howard; 5 Machine Learning Projects You Can No Longer Overlook, January**Top Stories, Jan 2-8: 5 Machine Learning Projects You Can No Longer Overlook, January; Machine Learning and Cyber Security Resources**- Jan 9, 2017.

5 Machine Learning Projects You Can No Longer Overlook, January; Machine Learning and Cyber Security Resources; Generative Adversarial Networks - Hot Topic in Machine Learning; Ten Myths About Machine Learning**Top December Stories: 50+ Data Science, Machine Learning Cheat Sheets; Machine Learning/AI: Main 2016 Developments, Key 2017 Trends**- Jan 5, 2017.

Also Why Deep Learning is Radically Different From Machine Learning; Bayesian Basics, Explained**Top Stories, Dec 26-Jan 1: Game Theory Reveals the Future of Deep Learning; A Funny Look at Big Data and Data Science**- Jan 2, 2017.

Game Theory Reveals the Future of Deep Learning; A Funny Look at Big Data and Data Science; Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017; How I Detect Fake News, by Tim O’Reilly**Top Stories, Dec 19-25: Machine Learning & AI: Main Developments in 2016 and Key Trends in 2017; 4 Reasons Your Machine Learning Model is Wrong**- Dec 27, 2016.

Machine Learning & AI: Main Developments in 2016 and Key Trends in 2017; 4 Reasons Your Machine Learning Model is Wrong (and How to Fix It); 50+ Data Science, Machine Learning Cheat Sheets; First Deep Learning for coders MOOC**Top Stories, Dec 12-18: Data Science, Predictive Analytics 2016 Developments, 2017 Key Trends; 50+ Data Science, Machine Learning Cheat Sheets**- Dec 19, 2016.

50+ Data Science, Machine Learning Cheat Sheets, updated; Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017; Bayesian Basics, Explained; Data Analytics Models in Quantitative Finance and Risk Management**Top 2016 KDnuggets Stories: Must-Know Data Science Interview Q&A, 10 Algorithms Machine Learning Engineers Need to Know**- Dec 15, 2016.

Also 20 Questions to Detect Fake Data Scientists; Software used for Analytics, Data Science, Machine Learning projects; Top Algorithms and Methods Used by Data Scientists**Top Stories, Dec 5-11: Why Deep Learning is Radically Different From Machine Learning; Data Science Trends To Look Out For In 2017**- Dec 12, 2016.

Why Deep Learning is Radically Different From Machine Learning; Data Science Trends To Look Out For In 2017; Bayesian Basics, Explained; Big Data: Main Developments in 2016 and Key Trends in 2017; 4 Cognitive Bias Key Points Data Scientists Need to Know**Top November Stories: Trump, Failure of Prediction, and Lessons for Data Scientists**- Dec 6, 2016.

Also: How Bayesian Inference Works; Top 20 Python Machine Learning Open Source Projects, updated; Machine Learning vs Statistics**Top Stories, Nov 28-Dec 4: Machine Learning vs Statistics; Hard Thing About Deep Learning; Developers’ Machine Learning Intro**- Dec 5, 2016.

Machine Learning vs Statistics; The hard thing about deep learning; Top 20 Python Machine Learning Open Source Projects, updated; Tips for Beginner Machine Learning/Data Scientists Feeling Overwhelmed; Introduction to Machine Learning for Developers**Top Stories, Nov 21-27: Top 20 Python Machine Learning Open Source Projects; Continuous Improvement for IoT**- Nov 28, 2016.

Top 20 Python Machine Learning Open Source Projects, updated; Continuous improvement for IoT through AI; Top 10 Facebook Groups for Big Data, Data Science, and Machine Learning; Linear Regression, Least Squares & Matrix Multiplication: A Concise Technical Overview**Top Stories, Nov 14-20: How Bayesian Inference Works; Data Science and Big Data, Explained; Advanced Time Series Prediction**- Nov 21, 2016.

How Bayesian Inference Works; Data Science and Big Data, Explained; Trump, Failure of Prediction, and Lessons for Data Scientist; Combining Different Methods to Create Advanced Time Series Prediction; Questions To Ask When Moving Machine Learning From Practice to Production**Top Stories, Nov 7-13: Trump, Failure of Prediction, and Lessons for Data Scientists; Top 10 Amazon Books in Data Mining**- Nov 14, 2016.

Trump, Failure of Prediction, and Lessons for Data Scientists; Top 10 Amazon Books in Data Mining; Data Science Basics: An Introduction to Ensemble Learners; Parallelism in Machine Learning: GPUs, CUDA, and Practical Applications; 5 Free Machine Learning EBooks**Top Stories, Oct 31-Nov 6: Machine Learning: A Complete and Detailed Overview; Learn Data Science for Excellence**- Nov 7, 2016.

Machine Learning: A Complete and Detailed Overview; Learn Data Science for Excellence; 5 EBooks to Read Before Getting into A Machine Learning Career; Eight Things an R user Will Find Frustrating When Trying to Learn Python**Top October Stories: 5 EBooks to Read Before Getting into A Machine Learning Career; Top 10 Data Science Videos on Youtube**- Nov 6, 2016.

Also Battle of the Data Science Venn Diagrams; Deep Learning Key Terms, Explained.**Top Stories, Oct 24-30: 5 EBooks to Read Before Getting into Machine Learning; Big Data Science: Expectation vs. Reality**- Oct 31, 2016.

5 EBooks to Read Before Getting into A Machine Learning Career; Big Data Science: Expectation vs. Reality; Mind of a Data Scientist; Machine Learning: A Complete and Detailed Overview; Using Machine Learning to Detect Malicious URLs**Top Stories, Oct 17-23: Top 10 Data Science Videos on YouTube; 5 EBooks to Read Before Getting into A Machine Learning Career**- Oct 24, 2016.

Top 10 Data Science Videos on YouTube; 5 EBooks to Read Before Getting into A Machine Learning Career; Jupyter Notebook Best Practices for Data Science; A Beginners Guide to Neural Networks with Python and SciKit Learn 0.18!; European Machine Intelligence Landscape**Top Stories, Oct 10-16: Deep Learning Key Terms, Explained; Artificial Intelligence, Deep Learning, and Neural Networks, Explained**- Oct 17, 2016.

Deep Learning Key Terms, Explained; Artificial Intelligence, Deep Learning, and Neural Networks, Explained; Top 12 Interesting Careers to Explore in Big Data; Data Preparation Tips, Tricks, and Tools: An Interview with the Insiders; Here's How IT Departments are Using Big Data**Top 10 KDnuggets Blog Posts, looking back a year**- Oct 11, 2016.

Have a look at our top blog posts of Q4 2015, some of which continue to be among the most popular on our site, while others are still topical and warrant a second look.**Top Stories, Oct 3-9: Battle of the Data Science Venn Diagrams; Automated Data Science & Machine Learning: An Interview with the Auto-sklearn Team**- Oct 10, 2016.

Battle of the Data Science Venn Diagrams; Automated Data Science & Machine Learning: An Interview with the Auto-sklearn Team; The 10 Algorithms Machine Learning Engineers Need to Know; Top Algorithms and Methods Used by Data Scientists; Biggest Issues in Data Science**Top September Stories: Top Algorithms and Methods Used by Data Scientists**- Oct 8, 2016.

Also A Beginner's Guide To Understanding Convolutional Neural Networks; Data Science for IoT: 10 Differences; 9 Key Deep Learning Papers, Explained.**Top Stories, Sep 26-Oct 2: Data Science for Internet of Things (IoT); Claudia Perlich on Biggest Issues in Data Science**- Oct 3, 2016.

Data Science for Internet of Things (IoT) : Ten Differences From Traditional Data Science; Claudia Perlich on Biggest Issues in Data Science; Data Science Basics: Data Mining vs. Statistics; The 10 Algorithms Machine Learning Engineers Need to Know; Top Algorithms and Methods Used by Data Scientists**Top Stories, Sep 18-24: Top Algorithms and Methods Used by Data Scientists; 9 Key Deep Learning Papers, Explained**- Sep 25, 2016.

Also - the 10 Algorithms Machine Learning Engineers Need to Know; Learning From Data (Intro Machine Learning) Caltech course starts on edX.**Top Stories, Sep 12-18: Top Algorithms Used by Data Scientists; 7 Steps to Mastering Apache Spark 2.0**- Sep 19, 2016.

Top Algorithms Used by Data Scientists; 7 Steps to Mastering Apache Spark 2.0; The (Not So) New Data Scientist Venn Diagram; Behind the Dream of Data Work as it Could Be; The Deception of Supervised Learning**Top Stories, Sep 5-11: Beginners Guide To Convolutional Neural Networks; Big Data Dilemma: Save Money or Make Money**- Sep 12, 2016.

Beginners Guide To Convolutional Neural Networks; Big Data Dilemma: Save Me Money Versus Make Me Money; The 10 Algorithms Machine Learning Engineers Need to Know; How to Become a Data Scientist**Top August Stories: The 10 Algorithms Machine Learning Engineers Need to Know; How to Become a Data Scientist**- Sep 6, 2016.

Also - A Beginner Guide to Neural Networks with R; Data Science for Beginners: Fantastic Introductory Video Series from Microsoft.**Top Stories, Aug 29-Sep 4: How Convolutional Neural Networks Work; Activation Functions in Neural Networks**- Sep 5, 2016.

How Convolutional Neural Networks Work; Activation Functions in Neural Networks; The 10 Algorithms Machine Learning Engineers Need to Know; How to Become a Data Scientist; Learning from Imbalanced Classes**Top Stories, Aug 22-28: How to Become a Data Scientist; 10 Need to Know Machine Learning Algorithms**- Aug 29, 2016.

How to Become a Data Scientist; 10 Need to Know Machine Learning Algorithms; How to Become a (Type A) Data Scientist; Cartoon: Data Scientist: The sexiest job of the 21st century until...**Top Stories, Aug 15-21: 10 Need to Know Machine Learning Algorithms; Does Data Scientist Mean What You Think It Means?**- Aug 22, 2016.

The 10 Algorithms Machine Learning Engineers Need to Know; Does Data Scientist Mean What You Think It Means?; The Gentlest Introduction to Tensorflow; Central Limit Theorem for Data Science - Part 2**Top Stories, Aug 8-14: Beginner’s Guide to Neural Nets with R; 5 Data Science/Big Data Ebooks**- Aug 15, 2016.

Beginner's Guide to Neural Networks with R; 5 EBooks to Read Before Getting into A Data Science or Big Data Career; Cartoon: Make Data Great Again; Understanding the Bias-Variance Tradeoff: An Overview**Top Stories, Aug 1-7: Bayesian Machine Learning, Explained; Data Science for Beginners Video Series**- Aug 8, 2016.

Bayesian Machine Learning, Explained; Data Science for Beginners Video Series; What Statistics Topics are Needed for Excelling at Data Science?; The Core of Data Science**Top July stories: Bayesian Machine Learning, Explained; Why Big Data is in Trouble: They Forgot About Applied Statistics**- Aug 6, 2016.

Also - How to Start Learning Deep Learning; What Has Pokemon Got To Do With Big Data?**Top Stories, July 25-31: What Has Pokemon Got To Do With Big Data?; 35 Open Source tools for Internet of Things**- Aug 1, 2016.

What Has Pokemon Got To Do With Big Data?; 35 Open Source tools for Internet of Things; 7 Steps to Understanding NoSQL Databases; SAS vs R vs Python: Which Tool Do Analytics Pros Prefer?**Top Stories, July 18-24: Why Big Data is in Trouble; In Deep Learning, Architecture Engineering is the New Feature Engineering**- Jul 25, 2016.

Why Big Data is in Trouble: They Forgot About Applied Statistics; In Deep Learning, Architecture Engineering is the New Feature Engineering; 5 Big Data Projects You Can No Longer Overlook; What Has Pokemon Got To Do With Big Data?**Top Stories, July 11–17: Top Machine Learning MOOCs and Online Lectures; Bayesian Machine Learning, Explained**- Jul 18, 2016.

Top Machine Learning MOOCs and Online Lectures; Bayesian Machine Learning, Explained; 10 Algorithm Categories for A.I., Big Data, and Data Science; 5 Deep Learning Projects You Can No Longer Overlook; The Hard Problems AI Can't (Yet) Touch**Top Stories, July 4–10: The Invention of Support Vector Machines; Storytelling: The Power to Influence in Data Science**- Jul 11, 2016.

Data Mining History: The Invention of Support Vector Machines; Storytelling: The Power to Influence in Data Science; Support Vector Machines: A Simple Explanation; Big Data, Bible Codes, and Bonferroni**Top June stories: The Difference Deep Learning and “Regular” Machine Learning? R, Python duel as top Data Science tools.**- Jul 5, 2016.

Also Data Science of Variable Selection; The Big Data Ecosystem is Too Damn Big.**Top Stories, June 27 – July 3: Big Data Ecosystem is Too Damn Big; 5 More Machine Learning Projects You Can’t Overlook**- Jul 4, 2016.

The Big Data Ecosystem is Too Damn Big; 5 More Machine Learning Projects You Can No Longer Overlook; 7 Steps to Mastering Machine Learning With Python; Machine Learning Trends and the Future of Artificial Intelligence**Top Stories, June 20-26: New Machine Learning Book, Free Draft Chapters; Machine Learning Trends & Future of A.I.**- Jun 27, 2016.

New Andrew Ng Machine Learning Book Under Construction, Free Draft Chapters; Machine Learning Trends and the Future of Artificial Intelligence; Top Machine Learning Libraries for Javascript; 7 Steps to Mastering Machine Learning With Python**Top Stories, June 13-19: A Visual Explanation of the Back Propagation Algorithm; Apache Spark Key Terms, Explained**- Jun 20, 2016.

A Visual Explanation of the Back Propagation Algorithm for Neural Networks; Apache Spark Key Terms, Explained; What Big Data, Data Science, Deep Learning software goes together?; 10 Data Acquisition Strategies for Startups; 7 Steps to Mastering Machine Learning With Python**Top Stories, June 6-12: Data Science of Variable Selection; R, Python Duel As Top Analytics, Data Science Software**- Jun 13, 2016.

Data Science of Variable Selection; R, Python Duel As Top Analytics, Data Science Software; Big Data Business Model Maturity Index and the Internet of Things (IoT); Where are the Opportunities for Machine Learning Startups?**Top Stories, May 30 – June 6: Difference Between Deep Learning and “Regular” Machine Learning; Introduction to Numpy**- Jun 6, 2016.

Difference Between Deep Learning and “Regular” Machine Learning; An Introduction to Scientific Python (and a Bit of the Maths Behind It) – NumPy; How to Build Your Own Deep Learning Box; Interacting with Machine Learning - Here is Why You Should Care**Top Stories, May 23-29: Machine Learning Key Terms, Explained; 10 Must Have Data Science Skills, Updated**- May 30, 2016.

Machine Learning Key Terms, Explained; 10 Must Have Data Science Skills, Updated; A Concise Overview of Standard Model-fitting Methods; Free eBook: Healthcare Social Media Analytics and Marketing; 7 Steps to Mastering Machine Learning With Python**Top stories, May 16-22: Annual KDnuggets Analytics Software Poll; How to Explain Machine Learning to Software Engineers**- May 23, 2016.

Annual KDnuggets Analytics Software Poll; How to Explain Machine Learning to a Software Engineer; 5 Machine Learning Projects You Can No Longer Overlook; Doing Data Science: A Kaggle Walkthrough Part 1 – Introduction**Top stories for May 9-15: Data scientists mostly just do arithmetic, Data Scientists – future-proof yourselves**- May 16, 2016.

Data scientists mostly just do arithmetic and that’s a good thing; Data Scientists – future-proof yourselves; Are Deep Neural Networks Creative?; Implementing Neural Networks in Javascript; 7 Steps to Mastering Machine Learning With Python**Top stories for May 1-7: Why Implement Machine Learning Algorithms From Scratch? 7 Steps to Mastering Machine Learning With Python**- May 8, 2016.

How to Use Cohort Analysis to Improve Customer Retention; Why Implement Machine Learning Algorithms From Scratch?; 7 Steps to Mastering Machine Learning With Python; R vs Python for Data Science: The Winner is ...**Top April stories: 10 Essential Books for Data Enthusiast; When Deep Learning is better than SVMs or Random Forests?**- May 5, 2016.

Top 10 Essential Books for the Data Enthusiast; 10 Signs Of A Bad Data Scientist; When Does Deep Learning Work Better Than SVMs or Random Forests?; Comprehensive Guide to Learning Python for Data Science and more.**Top stories, Apr 24-30: How to Remove Duplicates in Large Datasets; The “Thinking” Part of “Thinking Like A Data Scientist”**- May 1, 2016.

7 Steps to Mastering Machine Learning With Python; When Does Deep Learning Work Better Than SVMs or Random Forests; How to Remove Duplicates in Large Datasets; The "Thinking" Part of "Thinking Like A Data Scientist".**Top stories for Apr 18-24: Top 15 Machine Learning Frameworks, Deep Learning vs. SVMs and Random Forests**- Apr 25, 2016.

When Does Deep Learning Work Better Than SVMs or Random Forests?; Comprehensive Guide to Learning Python for Data Analysis and Data Science; Top 15 Frameworks for Machine Learning Experts; Top 10 IPython Notebook Tutorials for Data Science and Machine Learning**Top stories for Apr 10-17: New Deep Learning Book Finished, Pocket Guide to Data Science**- Apr 18, 2016.

New Deep Learning Book Finished; A Pocket Guide to Data Science; 7 Steps to Mastering Machine Learning With Python; From Science to Data Science, a Comprehensive Guide for Transition; Automated Machine Learning: Changing the Game**Top stories for Apr 3-9: Deep Learning for Internet of Things Using H2O; Basics of GPU Computing for Data Scientists**- Apr 10, 2016.

7 Steps to Mastering Machine Learning With Python; Top 10 Essential Books for the Data Enthusiast; Deep Learning for Internet of Things Using H2O; Basics of GPU Computing for Data Scientists.**Top March stories: R Learning Path: From beginner to expert in 7 steps; R or Python? Consider learning both**- Apr 5, 2016.

R Learning Path: From beginner to expert in 7 steps; R or Python? Consider learning both; Distributed TensorFlow Has Arrived; The Data Science Process, Rediscovered.**Top stories for Mar 27- Apr 2: 100 Active Blogs on Big Data, Data Science; Become A Machine Learning Expert in one step**- Apr 3, 2016.

100 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning; How To Become A Machine Learning Expert In One Simple Step; R Learning Path: From beginner to expert in R in 7 steps; 7 Steps to Mastering Machine Learning With Python.**Top stories for Mar 20-26: R Learning Path: From beginner to expert in 7 steps; Top 10 Data Science Resources on Github**- Mar 27, 2016.

R Learning Path: From beginner to expert in R in 7 steps; Top 10 Data Science Resources on Github; 7 Steps to Mastering Machine Learning With Python; 21 Must-Know Data Science Interview Questions and Answers.**Top stories for Mar 13-19: After 150 Years, the ASA Says No to p-values; New KDnuggets Tutorials Page**- Mar 20, 2016.

After 150 Years, the ASA Says No to p-values; New KDnuggets Tutorials Page: Learn R, Python, Data Visualization, Data Science, and more. R vs Python for Data Science: The Winner is ...**Top stories for Mar 6-12: R or Python? Consider learning both; The Data Science Process, Rediscovered**- Mar 13, 2016.

R or Python? Consider learning both; The Data Science Process, Rediscovered; R vs Python for Data Science: The Winner is ...; 7 Steps to Mastering Machine Learning With Python.**Top February stories: 21 Must-Know Data Science Interview Q&A; Gartner 2016 MQ for Advanced Analytics: gainers and losers**- Mar 8, 2016.

21 Must-Know Data Science Interview Questions and Answers; Top 10 TED Talks for the Data Scientists; Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers.**Top stories for Feb 28 – Mar 5: The Data Science Process; Why Spark Reached the Tipping Point in 2015**- Mar 6, 2016.

R vs Python for Data Science: The Winner is ...; 7 Steps to Mastering Machine Learning With Python; The Data Science Process; Why Spark Reached the Tipping Point in 2015.**Top stories for Feb 21-27: 21 Must-Know Data Science Interview Q&A, part 2; Data Science vs Disease**- Feb 28, 2016.

21 Must-Know Data Science Interview Questions and Answers, parts 1 and 2; Top 10 TED Talks for the Data Scientists; How Data Science is Fighting Disease; Top Data Visualization Projects on Github.**Top stories for Feb 14-20: Gartner 2016 MQ for Advanced Analytics: gainers and losers; 21 Must-Know Data Science Interview Q&A**- Feb 21, 2016.

21 Must-Know Data Science Interview Questions and Answers; Gartner 2016 Magic Quadrant for Advanced Analytics Platforms; The Next Big Inflection in Big Data: Automated Insights; Opening Up Deep Learning For Everyone.**Top stories for Feb 7-13: Top 10 TED Talks for the Data Scientists; Easy Deep Learning with TensorFlow and Scikit-learn**- Feb 14, 2016.

50+ Data Science and Machine Learning Cheat Sheets; 20 Questions to Detect Fake Data Scientists; Top 10 TED Talks for the Data Scientists; Scikit Flow: Easy Deep Learning with TensorFlow and Scikit-learn.**Top stories for Jan 31 – Feb 6: Data scientists keep forgetting the one rule; Apache Spark: RDD, DataFrame or Dataset?**- Feb 7, 2016.

20 Q to Detect Fake Data Scientists; TensorFlow Disappoints - Google Deep Learning falls shallow; Data scientists keep forgetting the one rule; Apache Spark: RDD, DataFrame or Dataset?**Top January stories: 20 Questions to Detect Fake Data Scientists, Machine Intelligence vs. Machine Learning vs. Deep Learning vs. AI**- Feb 5, 2016.

20 Questions to Detect Fake Data Scientists; What Is Machine Intelligence Vs. Machine Learning Vs. Deep Learning Vs. Artificial Intelligence (AI)? 7 Common Data Science Mistakes and How to Avoid Them; What questions can data science answer?**Top stories for Jan 24-30: 7 Common Data Science Mistakes; Businesses Will Need 1M Data Scientists by 2018**- Jan 31, 2016.

20 Questions to Detect Fake Data Scientists; TensorFlow Disappoints - Google Deep Learning falls shallow; 7 Common Data Science Mistakes and How to Avoid Them; Businesses Will Need One Million Data Scientists by 2018.**Top stories for Jan 17-23: 20 Questions to Detect Fake DS; Yahoo Releases the Largest-ever Machine Learning Dataset**- Jan 24, 2016.

20 Questions to Detect Fake Data Scientists; Google Deep Learning TensorFlow Disappoints; Yahoo Releases the Largest-ever Machine Learning Dataset for Researchers; Research Leaders on Data Mining, Data Science and Big Data.**Top 2015 KDnuggets Stories on Analytics, Big Data, Data Science, Data Mining, Machine Learning, updated**- Jan 21, 2016.

R vs Python for Data Science: The Winner is ...; 60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning; Top 20 Python Machine Learning Open Source Projects; 50+ Data Science and Machine Learning Cheat Sheets.**Top stories for Jan 10-16: 20 Questions to Detect Fake Data Scientists; Machine Intelligence vs Machine Learning vs Deep Learning vs AI**- Jan 17, 2016.

20 Questions to Detect Fake Data Scientists; TensorFlow Disappoints - Google Deep Learning falls shallow; Machine Intelligence vs Machine Learning vs Deep Learning vs AI; What To Expect from Deep Learning in 2016.**Top stories for Jan 3-9: 20 Questions to Detect Fake Data Scientists; 5 More arXiv Deep Learning Papers, Explained**- Jan 10, 2016.

20 Questions to Detect Fake Data Scientists; 5 More arXiv Deep Learning Papers, Explained; TensorFlow is Terrific - A Sober Take on Deep Learning; 55 upcoming January - September Meetings.**Top December stories: Top 10 Machine Learning Projects on Github; 50 Useful Machine Learning, Prediction APIs**- Jan 6, 2016.

Top 10 Machine Learning Projects on Github; 50 Useful Machine Learning, Prediction APIs; Free Data Science Curriculum; The Star Wars social networks - who is the central character?**Top stories for Dec 27 – Jan 2: The Art of Data Science: The Skills You Need; 20 Questions to Detect Fake Data Scientists**- Jan 3, 2016.

The Art of Data Science: The Skills You Need and How to Get Them; 20 Questions to Detect Fake Data Scientists; TensorFlow is Terrific - A Sober Take on Deep Learning Acceleration; What questions can data science answer?**Top stories for Dec 20-26: Top 10 Machine Learning Projects on Github; Lessons from 2 MM Kaggle Models**- Dec 27, 2015.

Top 10 Machine Learning Projects on Github; 10 BI Trends for 2016; More Data Science Humor and Cartoons; Lessons from 2 MM Machine Learning Models on Kaggle.**Top stories for Dec 13-19: Top 10 Machine Learning Projects on Github; Importance of Data Science for IoT business**- Dec 20, 2015.

Top 10 Machine Learning Projects on Github; Using Python and R together: main approaches; Importance of Data Science for IoT business; Top 10 Deep Learning Tips, Tricks.**Top 2015 KDnuggets Stories on Analytics, Big Data, Data Science, Data Mining, Machine Learning**- Dec 15, 2015.

R vs Python for Data Science: The Winner is ...; 60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning; Top 20 Python Machine Learning Open Source Projects; 50+ Data Science and Machine Learning Cheat Sheets.**Top stories for Dec 6-12: 50 Useful Machine Learning, Prediction APIs; Free Data Science Curriculum**- Dec 13, 2015.

50 Useful Machine Learning, Prediction APIs; TensorFlow Google Deep Learning Disappoints; 7 Essential Resources, Tips To Get Started With Data Science; 20 Lessons From Building Machine Learning Systems**Top November stories: TensorFlow Disappoints – Google Deep Learning falls shallow; 5 Best Machine Learning APIs for Data Science**- Dec 8, 2015.

TensorFlow Disappoints - Google Deep Learning falls shallow; 5 Best Machine Learning APIs for Data Science; 7 Steps to Mastering Machine Learning With Python; A Statistical View of Deep Learning.**Top stories for Nov 29 – Dec 5: 7 Steps to Mastering ML With Python; Balkanization of Data Science – Empire or Republics?**- Dec 6, 2015.

7 Steps to Mastering Machine Learning With Python; TensorFlow Disappoints - Google Deep Learning falls shallow; Will Balkanization of Data Science lead to one Empire or many Republics?; 5 Tribes of Machine Learning - Questions and Answers.**Top stories for Nov 22-28: TensorFlow Disappoints; How Applications of Big Data Drive Industries**- Nov 29, 2015.

TensorFlow Disappoints - Google Deep Learning falls shallow; 7 Steps to Mastering Machine Learning With Python; How Applications of Big Data Drive Industries; Using Machine Learning To Predict Gender.**Top stories for Nov 15-21: TensorFlow Disappoints – Google Deep Learning falls shallow; 7 Steps to Mastering Machine Learning With Python**- Nov 22, 2015.

TensorFlow Disappoints - Google Deep Learning falls shallow; 7 Steps to Mastering Machine Learning With Python; The different data science roles in the industry; The Five Myths of Big Data.**Top stories for Nov 8-14: 5 Best Machine Learning APIs; A Statistical View of Deep Learning**- Nov 15, 2015.

5 Best Machine Learning APIs for Data Science; Apache Spark Machine Learning with Large Data; A Statistical View of Deep Learning; Introduction to Spark with Python.**Top stories for Nov 1-7: Beginners Guide: Apache Spark Machine Learning with Big Data; 6 crazy things Deep Learning can do**- Nov 8, 2015.

Beginners Guide: Apache Spark Machine Learning with Big Data; 5 Best Machine Learning APIs; 6 crazy things Deep Learning can do with your data; Overview of Python Visualization Tools.**Top October stories: Top 5 arXiv Deep Learning Papers, Explained; R vs Python: head to head data analysis**- Nov 7, 2015.

Top 5 arXiv Deep Learning Papers, Explained; R vs Python: head to head data analysis; 90+ Active Blogs on Analytics, Big Data, Data Mining, Data Science; Does Deep Learning Come from the Devil?**Top stories for Oct 25-31: Amazon Top 20 Books in Data Mining; Blocks and Fuel – Frameworks for Deep Learning in Python**- Nov 1, 2015.

Amazon Top 20 Books in Data Mining; Introducing: Blocks and Fuel - Frameworks for Deep Learning in Python; How Big Data is used in Recommendation Systems to change our lives.**Top stories for Oct 18-24: R vs Python: head to head data analysis; Big Data + Wrong Method = Big Fail**- Oct 25, 2015.

R vs Python: head to head data analysis; The Best Advice From Quora on How to Learn Machine Learning; Big Data + Wrong Method = Big Fail; Infographic - Data Scientist or Business Analyst? Knowing the Difference.**Top stories for Oct 11-17: R vs Python: head2head data analysis; Quora best advice: How to Learn Machine Learning**- Oct 18, 2015.

R vs Python: head to head data analysis; Best Advice From Quora: How to Learn Machine Learning; How Big Data Helps Build Smart Cities; Best Data Science Online Courses.**Top stories for Oct 4-10: 5 steps to actually learn data science; 90+ Active Blogs on Analytics, Big Data, Data Mining**- Oct 11, 2015.

Top 5 arXiv Deep Learning Papers, Explained; 5 steps to actually learn data science; 90+ Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning; Does Deep Learning Come from the Devil?**Top stories in September: 60+ Free Books on Big Data, Data Science; The one language a Data Scientist must master**- Oct 8, 2015.

60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning; The one language a Data Scientist must master; Top 20 Data Science MOOCs; 30 best Harvard Business Review articles on Big Data.**Top stories for Sep 27 – Oct 3: Top 5 arXiv Deep Learning Papers, Explained; 30 best HBR articles on Big Data, Data Science**- Oct 4, 2015.

Top 5 arXiv Deep Learning Papers, Explained; 30 Can't miss Harvard Business Review articles on Data Science, Big Data and Analytics; Data Lake vs Data Warehouse: Key Differences.**Top stories for Sep 20-26: 15 Mathematics MOOCs for Data Science; Support “Talking Machines” – best podcast on Machine Learning**- Sep 27, 2015.

15 Mathematics MOOCs for Data Science; Support "Talking Machines" - the best podcast on Machine Learning, Data Science and AI; Spark SQL for Real Time Analytics - Part Two.**Top stories for Sep 13-19: Trying to acquire Machine Learning Skills? Deep Learning and Artistic Style**- Sep 20, 2015.

Trying to acquire Machine Learning Skills? Deep Learning and Artistic Style - Can art be quantified?; Free Books on Big Data, Data Science.**Top stories for Sep 6-12: Top 20 Data Science MOOCs; Free Books on Big Data, Data Science, Data Mining**- Sep 13, 2015.

60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning; Top 20 Data Science MOOCs; A Great way to learn Data Science; One language a Data Scientist must master.**Top August stories: How to become a Data Scientist for Free; Data is Ugly – Tales of Data Cleaning**- Sep 9, 2015.

How to become a Data Scientist for Free; Hype Cycle: Big Data is Out, Machine Learning is in; Data is Ugly - Tales of Data Cleaning; Data Science, Analytics Online Degrees and Certificates.**Top stories for Aug 30 – Sep 5: Free Books on Big Data, Data Science, Data Mining, …**- Sep 6, 2015.

60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning, Python, R, and more; How to become a Data Scientist for Free; The one language a Data Scientist must master.**Top stories for Aug 23-29: How to become a Data Scientist for Free; Big Data is Out, Machine Learning is in**- Aug 30, 2015.

How to become a Data Scientist for Free; Gartner 2015 Hype Cycle: Big Data is Out, Machine Learning is in; YCML Machine Learning library.**Top stories for Aug 16-22: Computing Challenge: read a document, load database; Paradoxes of Data Science**- Aug 23, 2015.

Data Science and Machine Learning Cheat Sheets; R vs Python for Data Science; Cognitive Computing Challenge: read a document, load database; Paradoxes of Data Science.**Top stories for Aug 9-15: Data Science, Analytics Online Degrees/Certificates; Top influencers in Big Data, Data Science**- Aug 16, 2015.

Data Science, Analytics, & Data Mining Online Degrees and Certificates; Key topics, top influencers in Big Data, Data Science; Overcoming Overfitting with the reusable holdout algorithm; 3 Key Components of a Successful Data Science Team.**Top July stories: 50+ Data Science and Machine Learning Cheat Sheets; Deep Learning and the Triumph of Empiricism**- Aug 11, 2015.

50+ Data Science and Machine Learning Cheat Sheets; Deep Learning and the Triumph of Empiricism; Can deep learning help find the perfect date? Impact of IoT on Big Data Landscape.**Top stories for Aug 2-8: Data is Ugly – Tales of Data Cleaning; Cartoon: Big Data and the dog question**- Aug 9, 2015.

R vs Python for Data Science; Data is Ugly - Tales of Data Cleaning; Cartoon: Big Data and the dog question; New Standard Methodology for Analytical Models; Why SQL on Hadoop is a Bad Idea.**Top stories for Jul 26 – Aug 1: Impact of IoT on Big Data Landscape; Data Science, Machine Learning Cheat Sheets**- Aug 2, 2015.

Impact of IoT on Big Data Landscape; Data for Humanity: A Request for Support; Data Science and Machine Learning Cheat Sheets.**Top stories for Jul 19-25: Data Science, Machine Learning Cheat Sheets; Coursera/Stanford MMDS free online course**- Jul 26, 2015.

50+ Data Science and Machine Learning Cheat Sheets; Stop Hiring Data Scientists Until Ready; Top June stories; Coursera/Stanford "Mining Massive Datasets" free online course.**Top stories for Jul 12-18: 50+ Data Science, Machine Learning Cheat Sheets; Deep Learning Adversarial Examples – Misconceptions**- Jul 19, 2015.

50+ Data Science and Machine Learning Cheat Sheets; Can deep learning help find the perfect date? Deep Learning Adversarial Examples - Clarifying Misconceptions; R, Python users show surprising stability, strong regional differences.**Top June stories: Top 20 Python Machine Learning Projects; Which Big Data, Data Mining Tools go together?**- Jul 18, 2015.

Top 20 Python Machine Learning Open Source Projects; Which Big Data, Data Mining, and Data Science Tools go together?; Popular Deep Learning Tools - a review; Why Does Deep Learning Work?**Top stories for Jul 5-11: Deep Learning and the Triumph of Empiricism; Data Science != Big Data**- Jul 12, 2015.

Deep Learning and the Triumph of Empiricism; Data Science and Big Data: Two very Different Beasts; Top 20 R packages by popularity; 10 Key Tips for Entry-Level Analytics Professionals.**Top stories for Jun 28 – Jul 4: Top 20 R packages by popularity; Nine Laws of Data Mining**- Jul 6, 2015.

Top 20 R packages by popularity; Top 20 R Machine Learning and Data Science packages; Nine Laws of Data Mining; The missing D in Data Science.