Most Popular Last Week

1. New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?, by Gregory Piatetsky
2. Deep Learning – Past, Present, and Future, by Henry H. Eckerson
3. 10 Free Must-Read Books for Machine Learning and Data Science
4. Using Deep Learning To Extract Knowledge From Job Descriptions
5. How to Learn Machine Learning in 10 Days
6. The 10 Algorithms Machine Learning Engineers Need to Know
7. The Guerrilla Guide to Machine Learning with R

Most Shared Last Week

1. Using Deep Learning To Extract Knowledge From Job Descriptions, by Jan Luts, - May 09, 2017.
2. The Guerrilla Guide to Machine Learning with R, by Matthew Mayo - May 11, 2017.
3. Must-Know: How to determine the most useful number of clusters? - May 09, 2017.
4. Data Version Control: iterative machine learning - May 11, 2017.
5. Data Science & Machine Learning Platforms for the Enterprise - May 08, 2017.
6. 5 Machine Learning Projects You Can No Longer Overlook, May - May 10, 2017.
7. The Two Phases of Gradient Descent in Deep Learning - May 12, 2017.

Most Popular Past 30 Days

1. 10 Free Must-Read Books for Machine Learning and Data Science
2. The 10 Algorithms Machine Learning Engineers Need to Know
3. How to Learn Machine Learning in 10 Days
4. Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions
5. Keep it simple! How to understand Gradient Descent algorithm
6. Awesome Deep Learning: Most Cited Deep Learning Papers
7. New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?

Most Shared Past 30 Days

1. New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months? - May 05, 2017.
2. Deep Learning – Past, Present, and Future - May 02, 2017.
3. How to Learn Machine Learning in 10 Days - May 01, 2017.
4. Awesome Deep Learning: Most Cited Deep Learning Papers - Apr 21, 2017.
5. Using Deep Learning To Extract Knowledge From Job Descriptions - May 09, 2017.
6. Keep it simple! How to understand Gradient Descent algorithm - Apr 28, 2017.
7. Data Science for the Layman (No Math Added) - Apr 20, 2017.