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Top KDnuggets Analytics, Big Data, Data Science stories in 2014, updated


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.



By Gregory Piatetsky, @kdnuggets, Jan 2015.

Several KDnuggets December stories were so popular they made it into all-year top list, so we had to update our previous list of top KDnuggets 2014 stories published Dec 16.

Here is a new list.

Top stories in 2014 had several themes - Deep Learning, Data Scientist career, education and salary, IBM Watson, resources for learning Data Science tools (especially R and Python), and KDnuggets annual data mining software poll.

The most viewed story had over 18,000 views and most shared had over 600 shares!

Most viewed stories in 2014

  1. Does Deep Learning Have Deep Flaws?adversarial image
  2. Is Data Scientist the right career path for you? Candid advice
  3. Four main languages for Analytics, Data Mining, Data Science
  4. Free Tutorial: Data Science in Python
  5. Where to Learn Deep Learning - Courses, Tutorials, Software
  6. KDnuggets Exclusive: Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab
  7. Do you need a Masters Degree to become a Data Scientist?
  8. Sibyl: Google's system for Large Scale Machine Learning
  9. New Poll: Analytics, Data Mining, Data Science Software Used?
  10. Gartner 2014 Magic Quadrant for Advanced Analytics Platforms - view report
  11. Data Scientists Salary Survey: US, Canada, Australia lead
  12. 9 Free Books for Learning Data Mining and Data Analysis
  13. One Page R: A Survival Guide to Data Science with R
  14. Guide to Data Science Cheat Sheets


Most shared in 2014

  1. Four main languages for Analytics, Data Mining, Data Science 4 main languages for analytics
  2. Cartoon: Big Data and World Cup Football
  3. new Cartoon: Unexpected Data Science Recommendations
  4. R and Hadoop make Machine Learning Possible for Everyone
  5. Will Deep Learning take over Machine Learning, make other algorithms obsolete?
  6. new IBM Watson Analytics vs. Microsoft Azure Machine Learning (Part 1)
  7. IBM Watson Analytics - Will it Replace Data Scientists ?
  8. new 2015 Predictions: What will happen to big data and data science?
  9. new Most Demanded Data Science and Data Mining Skills
  10. Update: Top LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science
  11. KDnuggets Exclusive: Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab
  12. New Poll: Analytics, Data Mining, Data Science Software Used?
  13. new The Big Data of Wearables
  14. Is Data Scientist the right career path for you? Candid advice

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