Top Stories, May 22-28: Analytics, Data Science, Machine Learning Software Poll Results; Machine Learning Crash Course

Most Popular Last Week

1. New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll, by Gregory Piatetsky
2. The 10 Algorithms Machine Learning Engineers Need to Know, by James Le
3. Machine Learning Crash Course: Part 1
4. 10 Free Must-Read Books for Machine Learning and Data Science
5. Data science platforms are on the rise and IBM is leading the way
6. How to Learn Machine Learning in 10 Days
7. An Introduction to the MXNet Python API

Most Shared Last Week

1. New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll, by Gregory Piatetsky - May 22, 2017.
2. Text Mining 101: Mining Information From A Resume, by Yogesh H. Kulkarni - May 24, 2017.
3. Data science platforms are on the rise and IBM is leading the way - May 25, 2017.
4. Machine Learning Crash Course: Part 1 - May 24, 2017.
5. Why Java is the Language of Choice for the Internet of Things (IoT) - May 23, 2017.
6. An Introduction to the MXNet Python API - May 26, 2017.
7. How A Data Scientist Can Improve Productivity - May 25, 2017.

Most Popular Past 30 Days

1. How to Learn Machine Learning in 10 Days
2. 10 Free Must-Read Books for Machine Learning and Data Science
3. The 10 Algorithms Machine Learning Engineers Need to Know
4. New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?
5. Keep it simple! How to understand Gradient Descent algorithm
6. Deep Learning – Past, Present, and Future
7. The Guerrilla Guide to Machine Learning with Python

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. New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll - May 22, 2017.
4. How to Learn Machine Learning in 10 Days - May 01, 2017.
5. Must-Know: What are common data quality issues for Big Data and how to handle them? - May 16, 2017.
6. Using Deep Learning To Extract Knowledge From Job Descriptions - May 09, 2017.
7. HDFS vs. HBase : All you need to know - May 15, 2017.