- 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
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- 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.
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- 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
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- 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...
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- 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
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- 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
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- 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
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- 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?
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- 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?
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- 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?
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- 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
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- 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
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- 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.
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- 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
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- 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
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- 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
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- 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?
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- 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
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- 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
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- 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
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- 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
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- 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 ...
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- 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.
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- 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".
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- 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
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- 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
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- 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.
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- 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.
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- 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.
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- 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.
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- 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 ...
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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?
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- 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?
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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?
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- 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?
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- 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.
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- 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.
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- 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.
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- 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
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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?
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- 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.
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- 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.
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- 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.
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- 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?
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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?
Tags: Top stories
- 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.
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- 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.
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- Top stories for Jun 21-27: Popular Deep Learning Tools; Why Does Deep Learning Work? - Jun 28, 2015.
Popular Deep Learning Tools - a review; Top 10 Machine Learning Videos on YouTube; Why Does Deep Learning Work?; Top 20 R Machine Learning and Data Science packages.
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- Top stories for Jun 14-20: Which Big Data, Data Mining Tools go together? Popular Deep Learning Tools - Jun 21, 2015.
Which Big Data, Data Mining, and Data Science Tools go together?; Top 20 Python Machine Learning Open Source Projects; Popular Deep Learning Tools - a review; Decision Boundaries for Deep Learning and other Machine Learning classifiers.
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- Top stories for Jun 7-13: Top 20 Python Machine Learning Projects; Which Big Data, Data Mining, Data Science Tools go together? - Jun 14, 2015.
Top 20 Python Machine Learning Open Source Projects; Which Big Data, Data Mining, and Data Science Tools go together? Best Big Data, Data Science, Data Mining, and Machine Learning podcasts.
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- Top stories for May 31 – Jun 6: Top 20 Python Machine Learning Open Source Projects - Jun 7, 2015.
Top 20 Python Machine Learning Open Source Projects; Top 30 Social Network Analysis and Visualization Tools; R vs Python for Data Science; Love, Sex and Predictive Analytics.
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- Top May stories: Most popular Predictive Analytics, Data Mining, Data Science software; R vs Python - Jun 6, 2015.
Poll: Predictive Analytics, Data Mining, Data Science software used; R leads RapidMiner, Python catches up, Big Data tools grow, Spark ignites; R vs Python for Data Science: The Winner is ...; Most Viewed Big Data Videos on YouTube.
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- Top stories for May 24-30: R vs Python for Data Science; R leads RapidMiner, Python catches up, Spark ignites - May 31, 2015.
R vs Python for Data Science: The Winner is ...; R leads RapidMiner, Python catches up, Big Data tools grow, Spark ignites; Top 10 Data Mining Algorithms, Explained; 150 Most Influential People in Big Data & Hadoop.
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- Top stories for May 17-23: 7 Methods for Data Dimensionality Reduction; Will the Real Data Scientists Please Stand Up? - May 24, 2015.
Poll: What Predictive Analytics, Data Mining, Data Science software/tools used? Seven Techniques for Data Dimensionality Reduction; Will the Real Data Scientists Please Stand Up?; R vs Python, why each is better.
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- Top stories for May 10-16: Poll: Analytics, Data Mining software used; 3 things about Data Science not in books - May 17, 2015.
Predictive Analytics, Data Mining, Data Science software used?; 3 Things About Data Science You Won't Find In Books; Most Viewed Big Data Videos on YouTube; Machine Learning Wars: Amazon vs Google vs BigML vs PredicSis.
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- Top stories for May 3-9: Data Scientists Automated by 2025? The Inconvenient Truth About Data Science - May 10, 2015.
Data Scientists Automated and Unemployed by 2025? The Inconvenient Truth About Data Science; Most Viewed Big Data Videos on YouTube; Poll: Predictive Analytics, Data Mining, Data Science software/tools used?
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- Top April stories: Awesome Public Datasets on GitHub; Forrester Wave Big Data Predictive Analytics – Gainers and Losers - May 8, 2015.
Awesome Public Datasets on GitHub; Forrester Wave Big Data Predictive Analytics - Gainers and Losers; Cloud Machine Learning Wars; Top LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science.
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- Top stories for Apr 26 – May 2: The Myth of Model Interpretability; How To Become a Data Scientist and Get Hired - May 3, 2015.
The Myth of Model Interpretability; How To Become a Data Scientist And Get Hired; Top LinkedIn Groups for Analytics, Big Data, Data Mining; Emmanuel Letouze, Data-Pop Alliance on Big Data for Development and Future Prospects.
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- Top stories for Apr 19-25: Top LinkedIn Groups for Analytics, Big Data, Data Mining; 10 R Packages for a Kaggle Champion - Apr 26, 2015.
Top LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science - from "Big Bang to Now"; Top 10 R Packages to be a Kaggle Champion; Deep Learning to Fight Crime.
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- Top stories for Apr 12-18: Awesome Public Datasets on GitHub; Cloud Machine Learning Wars: Amazon vs IBM Watson vs Microsoft Azure - Apr 19, 2015.
Awesome Public Datasets on GitHub; Preventing Overfitting in Neural Networks; Cloud Machine Learning Wars: Amazon vs IBM Watson vs Microsoft Azure; The Grammar of Data Science: Python vs R.
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- Top stories for Apr 5-11: 10 things statistics taught us about big data analysis; Awesome Public Datasets on GitHub - Apr 12, 2015.
10 things statistics taught us about big data analysis; The Grammar of Data Science: Python vs R; Predictive Analytics Innovation Summit (San Diego) Highlights; Awesome Public Datasets on GitHub.
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- Top stories in March: 7 common Machine Learning mistakes; Deep Learning for Text Understanding from Scratch - Apr 7, 2015.
7 common mistakes when doing Machine Learning; Deep Learning for Text Understanding from Scratch; More Free Data Mining, Data Science Books and Resources; The Grammar of Data Science: Python vs R.
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- Top stories for Mar 29 – Apr 4: Deep Learning, Dimensionality, and Autoencoders; The Grammar of Data Science: Python vs R - Apr 5, 2015.
Deep Learning, The Curse of Dimensionality, and Autoencoders; The Grammar of Data Science: Python vs R; Data Science as a profession - time is now; Forrester Wave Big Data Predictive Analytics 2015: Gainers and Losers.
Tags: Top stories
- Top stories for Mar 22-28: More Free Data Mining, Data Science Books; PredictionIO vs Microsoft Azure Machine Learning - Mar 29, 2015.
More Free Data Mining, Data Science Books and Resources; PredictionIO (Open Source Version) vs Microsoft Azure Machine Learning; Do We Need More Training Data or More Complex Models? Data science done well looks easy, which is a big problem.
Tags: Top stories
- Top stories for Mar 15-21: Deep Learning for Text Understanding from Scratch; White House on Big Data and Differential Pricing - Mar 22, 2015.
Deep Learning for Text Understanding from Scratch; 7 common mistakes when doing Machine Learning; White House report on Big Data and Differential Pricing; Why Data Gravity Cannot be Ignored.
Tags: Top stories
- Top stories for Mar 8-14: 7 common Machine Learning mistakes; Deep Learning for Text Understanding from Scratch - Mar 15, 2015.
7 common mistakes when doing Machine Learning; Deep Learning for Text Understanding from Scratch; SQL-like Query Language for Real-time Streaming Analytics; 10 Steps to Success in Kaggle Data Science Competitions.
Tags: Top stories
- Top stories for Mar 1-7: All Machine Learning Models Have Flaws; Analytics, Data Mining, Data Science professionals salary - Mar 9, 2015.
All Machine Learning Models Have Flaws; Analytics, Data Mining, Data Science professionals well compensated; 7 common mistakes when doing Machine Learning; Interviews with Ted Dunning (MapR) and Kaiser Fung (junkcharts).
Tags: Top stories
- Top stories in February: 10 things statistics taught about big data; Gartner Analytics MQ: gainers and losers - Mar 5, 2015.
10 things statistics taught us about big data analysis; Data Science's Most Used, Confused, and Abused Jargon; Gartner Analytics MQ: gainers and losers; My Brief Guide to Big Data and Predictive Analytics for non-experts.
Tags: Top stories
- Top stories for Feb 22-28: Gartner 2015 MQ for Advanced Analytics: gainers and losers; History of Data Science Infographic - Mar 1, 2015.
Gartner 2015 Magic Quadrant for Advanced Analytics Platforms: who gained and who lost; History of Data Science Infographic in 5 strands; Interview: David Kasik, Boeing on Data Analysis vs Data Analytics.
Tags: Top stories
- Top stories for Feb 15-21: 10 things statistics taught us about big data analysis; History of Data Science in 5 strands - Feb 22, 2015.
My Brief Guide to Big Data and Predictive Analytics for non-experts; 10 things statistics taught us about big data analysis; History of Data Science Infographic in 5 strands; Automatic Statistician and the Profoundly Desired Automation for Data Science.
Tags: Automation, Data Science, History, Jargon, Statistics, Strata, Top stories
- Top stories for Feb 8-14: 10 things statistics taught us about Big Data; Data Science Most Confused Jargon - Feb 15, 2015.
10 things statistics taught us about big data analysis; Data Science's Most Used, Confused, and Abused Jargon; Top 30 people in Big Data and Analytics; Cartoon: Data Scientist 3 wishes for Valentine Day.
Tags: Big Data Influencers, Cartoon, Data Science, Jargon, Statistics, Top stories
- Top stories for Feb 1-7: Avoiding a Common Mistake with Time Series; Top Big Data Influencers and Brands - Feb 8, 2015.
Avoiding a Common Mistake with Time Series; (Deep Learning Deep Flaws) Deep Flaws; Top Big Data Influencers and Brands; Two Most Important Trends in Analytics and Big Data.
Tags: Big Data Influencers, Deep Learning, Hadoop, Predictions for 2015, Time Series, Top stories
- Top stories in January: (Deep Learning Deep Flaws) Deep Flaws; Research Leaders on key trends, papers - Feb 6, 2015.
Research Leaders on Data Science and Big Data key trends, papers; (Deep Learning Deep Flaws) Deep Flaws; Analytics: Five Rules to Cut Through the Hype; 11 Clever Methods of Overfitting and how to avoid them.
Tags: Arno Candel, Data Science Education, Deep Learning, Overfitting, Research, Top stories, Trends
- Top stories for Jan 25-31: (Deep Learning Deep Flaws) Deep Flaws; Text Analysis 101: Document Classification - Feb 1, 2015.
(Deep Learning Deep Flaws) Deep Flaws; Text Analysis 101: Document Classification; Interview: Anthony Bak, Ayasdi on Managing Data Complexity through Topology.
Tags: Anthony Bak, Ayasdi, Deep Learning, Text Analytics, Top stories
- Top stories for Jan 18-24: Basics of Deep Learning to Get You Started; Top SlideShare Presentations on Big Data, updated - Jan 25, 2015.
Arno Candel on the Basics of Deep Learning to Get You Started; Top SlideShare Presentations on Big Data, updated; 15 Programming Languages to know in 2015; 8 Trends In Big Data For 2015.
Tags: Arno Candel, Big Data, Deep Learning, Document Classification, SlideShare, Top stories
- Top stories for Jan 11-17: Research Leaders on Data Mining/Big Data key trends, top papers; Deep Learning in a Nutshell - Jan 18, 2015.
Research Leaders on Data Mining, Data Science, and Big Data key trends, top papers; Deep Learning in a Nutshell - what it is, how it works, why care?; Deep Learning can be easily fooled; Cartoon: Hello, Singularity.
Tags: Cartoon, Deep Learning, Research, Top stories, Trends
- Top KDnuggets Analytics, Big Data, Data Science stories in 2014, updated - Jan 11, 2015.
Top KDnuggets stories in 2014 had several themes - Deep Learning; Data Scientist career, education, and salary; IBM Watson; Resources for learning Data Science, especially R and Python, and polls on what are most popular analytics/data mining software & languages.
Tags: Analytics Languages, Cartoon, Data Scientist, Deep Learning, IBM Watson, Python, R, Top stories, Yann LeCun
- Top stories for Jan 4-10: 11 Clever Methods of Overfitting; Research Leaders on Data Science and Big Data - Jan 11, 2015.
11 Clever Methods of Overfitting and how to avoid them; Causation vs Correlation: Visualization, Statistics, and Intuition; Research Leaders on Data Science and Big Data key trends, top papers; Differential Privacy: How to make Privacy and Data Mining Compatible.
Tags: Causation, Correlation, Overfitting, Privacy, Programming Languages, Top stories, Trends
- Top stories for Dec 28 – Jan 3: What will happen to big data and data science? Analytics: Five Rules to Cut Through the Hype - Jan 4, 2015.
2015 Predictions: What will happen to big data and data science?; Data Mining is LinkedIn Hottest Skill in 2014; Analytics: Five Rules to Cut Through the Hype; 11 Clever Methods of Overfitting and how to avoid them.
Tags: Overfitting, Predictions for 2015, Skills, Top stories
- Top stories in December: If programming languages were vehicles; Cartoon: Unexpected Data Science Recommendations - Jan 2, 2015.
If programming languages were vehicles, what would be R, Python, SAS, and SQL? Cartoon: Unexpected Data Science Recommendations; Geoffrey Hinton talks about Deep Learning, Google and Everything; IBM Watson Analytics vs. Microsoft Azure Machine Learning.
Tags: Azure ML, Cartoon, Geoff Hinton, IBM Watson, Programming Languages, Top stories
- Top stories for Dec 21-27: 2015 Predictions for big data and data science; The Big Data of Wearables - Dec 28, 2014.
2015 Predictions: What will happen to big data and data science?; The Big Data of Wearables; Open Source Tools for Machine Learning; FICO CAO sees a Post-Big Data World.
Tags: Big Data, Cloud Computing, FICO, Top stories, Wearables
- Top stories for Dec 14-20: Most Demanded Data Science/Data Mining Skills; Watson Analytics vs. Azure Machine Learning - Dec 21, 2014.
Most Demanded Data Science and Data Mining Skills; IBM Watson Analytics vs. Microsoft Azure Machine Learning; Cartoon: Unexpected Data Science Recommendations; 16 NoSQL, NewSQL Databases To Watch.
Tags: Azure ML, Cartoon, Data Science Skills, IBM Watson, NewSQL, NoSQL, Top stories
- Top KDnuggets Analytics, Big Data, Data Science stories in 2014 - Dec 16, 2014.
Top KDnuggets stories in 2014 had several themes - Deep Learning; Data Scientist career, education, and salary; Resources for learning Data Science, especially R and Python, and polls on popular languages for data science and data mining.
Tags: Analytics Languages, Cartoon, Data Scientist, Deep Learning, IBM Watson, Python, R, Top stories, Yann LeCun
- Top stories for Dec 7-13: Where Analytics, Data Mining, Data Science is Applied; Neural Networks, Brain, and Machine Learning - Dec 14, 2014.
If programming languages were vehicles, what would be R, Python, SAS, and SQL?; Tableau Top 10 Trends in BI for 2015; Where Analytics, Data Mining, Data Science is applied; Geoff Hinton AMA: Neural Networks, the Brain, and Machine Learning.
Tags: Business Intelligence, Geoff Hinton, Industries, Programming Languages, Top stories
- Top stories for Nov 30 – Dec 6: Hinton on Deep Learning, Google and AI; Top 10 Big Data companies - Dec 7, 2014.
Geoff Hinton talks about Deep Learning, Google and Everything; Top 10 Big Data Companies by Revenue; Big Data Top Trends in 2015; Sisense 2015 predictions for BI, Big Data.
Tags: Big Data Market, Deep Learning, Geoff Hinton, Sisense, Top 10, Top stories
- Top stories in November: 9 Must-Have Skills for a Data Scientist; IBM Watson Analytics replacing a data scientist? - Dec 4, 2014.
9 Must-Have Skills You Need to Become a Data Scientist; IBM Watson Analytics - Will it Replace Data Scientists ? Update: Top LinkedIn Groups for Big Data, Data Mining, Data Science; R and Hadoop make Machine Learning Possible for Everyone.
Tags: Data Science Skills, IBM Watson, LinkedIn Groups, Machine Learning, Top stories
- Top stories for Nov 16-22: R, Hadoop make machine learning possible for all; Azure ML is the next big thing - Nov 23, 2014.
R and Hadoop make Machine Learning Possible for Everyone; Why Azure ML is the Next Big Thing for Machine Learning; IBM Watson Analytics - Will it Replace Data Scientists? 9 Must-Have Skills You Need to Become a Data Scientist.
Tags: Hadoop, Machine Learning, Microsoft Azure, R, Top stories
- Top stories for Nov 9-15: IBM Watson Analytics – Will It Replace Data Scientists? - Nov 16, 2014.
IBM Watson Analytics - Will It Replace Data Scientists ? Will Deep Learning take over Machine Learning? Most Popular SlideShare Presentations on Data Mining; Top KDnuggets tweets last week: P-values are not as reliable.
Tags: Deep Learning, SlideShare, Top stories, Watson
- Top stories for Nov 2-8: Will Deep Learning take over Machine Learning? Magic: Turn Webpage Into Data - Nov 10, 2014.
Will Deep Learning take over Machine Learning?; 'Magic' - Quickest Way to Turn Webpage Into Data; Big Data Winter ahead - unless we change course, warns Michael Jordan.
Tags: Big Data Winter, Deep Learning, import.io, Predictions, Top stories
- Top stories in October: Ebola Analytics and Data Science Lessons; Will Deep Learning take over Machine Learning? - Nov 4, 2014.
Ebola Analytics and Data Science Lessons; Will Deep Learning take over Machine Learning, make other algorithms obsolete?; DM Radio: Predictive Tools Are Pervasive, with KDnuggets; Mirador, a free tool for visual exploration.
Tags: Cartoon, Deep Learning, DM Radio, Ebola, Halloween, Top stories
- Top stories for Oct 26 – Nov 1: Will Deep Learning take over Machine Learning? - Nov 2, 2014.
Will Deep Learning take over Machine Learning, make other algorithms obsolete? Cartoon: Halloween Costume for Big Data; CRISP-DM, still the top methodology for analytics, data mining, or data science projects; Big Data accelerates medical research? Or not?
Tags: Cartoon, CRISP-DM, Deep Learning, Medical research, Top stories
- Top stories for Oct 19-25: Ebola Data Science Lessons; DM Radio, Oct 30 on Predictive Tools with KDnuggets, Predixion - Oct 26, 2014.
Ebola Analytics and Data Science Lessons; DM Radio: Predictive Tools Are Pervasive, with KDnuggets, Predixion, RedPoint, and Appnomic, Oct 30; Big Data for Social Good IBM + Hadoop Challenge; TweetNLP: Twitter Natural Language Processing.
Tags: Challenge, DM Radio, Ebola, Hadoop, NLP, Social Good, Top stories, Twitter
- Top stories for Oct 12-18: New Poll: Methodology for Analytics, Data Mining Projects? Big Data Is Not Big Context - Oct 19, 2014.
New Poll: Methodology for Analytics, Data Mining, Data Science Projects? Big Data Is Not Big Context; Big Data on the Internet of Things; ADW, free software to measure semantic similarity.
Tags: Big Data, Context, Internet of Things, Poll, Top stories
- Top stories for Oct 5-11: Analyzing Ebola spread; Data science shows surveys may assess language more than attitudes - Oct 12, 2014.
Analyzing Ebola - Is it spreading at exponential rate?; Data science shows surveys may assess language more than attitudes; Making Sense of Public Data - Wrangling Jeopardy.
Tags: Data Preparation, Ebola, Jeopardy, Surveys, Top stories
- Top stories in September: Data Science is mainly a Human Science; Hiring Data Scientists: What to look for? - Oct 7, 2014.
Data Science is mainly a Human Science; Hiring Data Scientists: What to look for?; Most Viewed Machine Learning Talks at Videolectures; Neural Networks and Deep Learning, free online book (draft).
Tags: Coursera, Data Science, edX, Hiring, Machine Learning, Neural Networks, Top stories, Videolectures
- Top stories for Sep 28 – Oct 4: Mirador, a free tool for visual exploration of complex datasets - Oct 5, 2014.
Mirador, a free tool for visual exploration of complex datasets; Data Science is mainly a Human Science; Get Started in Text Analytics; Associations and Text Mining of World Events.
Tags: Association Rules, Data Visualization, GDELT, Mirador, Text Mining, Top stories
- Top stories for Sep 21-27: Data Science is mainly a Human Science; Data Analytics for Business Leaders Explained - Sep 28, 2014.
Neural Networks and Deep Learning, free online book (draft); Data Science is mainly a Human Science; Data Analytics for Business Leaders Explained; Predictive Analytics in Health Care.
Tags: Data Analytics, Data Science, Healthcare, Human Analytics, Neural Networks, Poll, Top stories
- Top stories for Sep 14-20: Coursera Mining Massive Datasets MOOC; Rattle package for Data Mining in R - Sep 21, 2014.
Coursera / Stanford Mining Massive Datasets MOOC; Rattle package for Data Mining and Data Science in R; edX "Learning From Data"; Caltech course; Neural Networks and Deep Learning, free online book (draft).
Tags: Coursera, edX, Free ebook, Learning from Data, Mining Massive Datasets, MOOC, Neural Networks, R, Rattle, Stanford, Top stories
Automating Every Aspect of Your Python Project
Autograd: The Best Machine Learning Library You’re Not Using?