Top Stories, Jan 15-21: The Value of Semi-Supervised Machine Learning; A Day in the Life of an AI Developer

Most Popular Last Week

1. Top 10 Machine Learning Algorithms for Beginners, by Reena Shaw
2. Top 10 TED Talks for Data Scientists and Machine Learning Engineers, By Ilan Reinstein
3. The Art of Learning Data Science
4. Generative Adversarial Networks, an overview
5. Gradient Boosting in TensorFlow vs XGBoost
6. A Day in the Life of an AI Developer
7. Computer Vision by Andrew Ng - 11 Lessons Learned

Most Shared Last Week

1. The Value of Semi-Supervised Machine Learning, by Rajiv Shah - Jan 17, 2018.
2. A Day in the Life of an AI Developer, by Titash Neogi - Jan 16, 2018.
3. Managing Machine Learning Workflows with Scikit-learn Pipelines Part 2: Integrating Grid Search - Jan 19, 2018.
4. Generative Adversarial Networks, an overview - Jan 15, 2018.
5. Learning Curves for Machine Learning - Jan 17, 2018.
6. Gradient Boosting in TensorFlow vs XGBoost - Jan 18, 2018.
7. Governance in Data Science - Jan 16, 2018.

Most Popular Past 30 Days

1. Computer Vision by Andrew Ng - 11 Lessons Learned
2. Top 10 Machine Learning Algorithms for Beginners
3. Docker for Data Science
4. How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?
5. The 10 Statistical Techniques Data Scientists Need to Master
6. Can I Become a Data Scientist: Research into 1,001 Data Scientist Profiles
7. Quantum Machine Learning: An Overview

Most Shared Past 30 Days

1. Top 10 TED Talks for Data Scientists and Machine Learning Engineers - Jan 10, 2018.
2. The Art of Learning Data Science - Jan 09, 2018.
3. Quantum Machine Learning: An Overview - Jan 05, 2018.
4. Becoming a Data Scientist - Jan 09, 2018.
5. How Docker Can Help You Become A More Effective Data Scientist - Jan 10, 2018.
6. Docker for Data Science - Jan 02, 2018.
7. How to build a Successful Advanced Analytics Department - Jan 04, 2018.