Top Stories, Oct 23-29: Ranking Popular Deep Learning Libraries; TensorFlow: Building Feed-Forward Neural Networks Step-by-Step

Most Popular Last Week

1. Top 10 Machine Learning Algorithms for Beginners, by Reena Shaw
2. 7 Types of Artificial Neural Networks for Natural Language Processing, by Olga Davydova
3. 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets
4. Want to Become a Data Scientist? Read This Interview First
5. Understanding Machine Learning Algorithms
6. Neural Networks, Step 1: Where to Begin with Neural Nets & Deep Learning
7. The 10 Algorithms Machine Learning Engineers Need to Know

Most Shared Last Week

1. Ranking Popular Deep Learning Libraries for Data Science, by Rachel Allen and Michael Li - Oct 23, 2017.
2. TensorFlow: Building Feed-Forward Neural Networks Step-by-Step, by Ahmed Gad - Oct 23, 2017.
3. XGBoost: A Concise Technical Overview - Oct 27, 2017.
4. Top 10 Machine Learning with R Videos - Oct 24, 2017.
5. Neural Networks, Step 1: Where to Begin with Neural Nets & Deep Learning - Oct 28, 2017.
6. AlphaGo Zero: The Most Significant Research Advance in AI - Oct 27, 2017.
7. New Poll: When will demand for Data Scientists/Machine Learning experts begin to decline? - Oct 23, 2017.

Most Popular Past 30 Days

1. Top 10 Machine Learning Algorithms for Beginners
2. 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets
3. Understanding Machine Learning Algorithms
4. Want to Become a Data Scientist? Read This Interview First
5. Introduction to Blockchains & What It Means to Big Data
6. The 10 Algorithms Machine Learning Engineers Need to Know
7. How I started with learning AI in the last 2 months

Most Shared Past 30 Days

1. Top 10 Machine Learning Algorithms for Beginners - Oct 20, 2017.
2. Want to Become a Data Scientist? Read This Interview First - Oct 13, 2017.
3. Ranking Popular Deep Learning Libraries for Data Science - Oct 23, 2017.
4. 7 Types of Artificial Neural Networks for Natural Language Processing - Oct 19, 2017.
5. [webinar] Getting Started with Automated Analytics Powered By Machine Learning, Nov 8 - Oct 18, 2017.
6. TensorFlow: Building Feed-Forward Neural Networks Step-by-Step - Oct 23, 2017.
7. 7 Techniques to Visualize Geospatial Data - Oct 19, 2017.