By Gregory Piatetsky,
@kdnuggets, Dec 16, 2014.
To mark the ending year, I looked at the top 14 most viewed and most shared stories of 2014. We can see several repeated themes - Deep Learning, Data Scientist career, education and salary, resources for learning Data Science tools like R and Python, and polls on popular languages for data science and data mining.
The most viewed story had over 10,000 views and most shared had over 500 shares!
Most viewed stories in 2014
- Does Deep Learning Have Deep Flaws?
- Is Data Scientist the right career path for you? Candid advice
- Four main languages for Analytics, Data Mining, Data Science
- Free Tutorial: Data Science in Python
- KDnuggets Exclusive: Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab
- Sibyl: Google's system for Large Scale Machine Learning
- New Poll: Analytics, Data Mining, Data Science Software Used?
- Where to Learn Deep Learning - Courses, Tutorials, Software
- Do you need a Masters Degree to become a Data Scientist?
- Gartner 2014 Magic Quadrant for Advanced Analytics Platforms - view report
- Data Scientists Salary Survey: US, Canada, Australia lead
- 9 Free Books for Learning Data Mining and Data Analysis
- One Page R: A Survival Guide to Data Science with R
- Guide to Data Science Cheat Sheets
Most shared in 2014
- Four main languages for Analytics, Data Mining, Data Science
- Cartoon: Big Data and World Cup Football
- Will Deep Learning take over Machine Learning, make other algorithms obsolete?
- R and Hadoop make Machine Learning Possible for Everyone
- IBM Watson Analytics - Will it Replace Data Scientists ?
- KDnuggets Exclusive: Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab
- New Poll: Analytics, Data Mining, Data Science Software Used?
- Update: Top LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science
- Is Data Scientist the right career path for you? Candid advice
- Sibyl: Google's system for Large Scale Machine Learning
- Geoffrey Hinton talks about Deep Learning, Google and Everything
- 9 Free Books for Learning Data Mining and Data Analysis
- Does Deep Learning Have Deep Flaws?
- Big Data Landscape, v 3.0, analyzed
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