# Tag: Top stories (418)

**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.**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.**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.**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.**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.**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.**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.**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.**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.**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?**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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).**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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.**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?**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.**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.**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.**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).**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.**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.**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).