Ilan is a researcher at NYU School of Medicine, primarily focused on medical education and learning analytics. He applies different statistical methods to various questions around education quality and educational outcomes and works with other teams as a data consultant to solve problems on data collection and processing, data visualization, and report automation. Ilan was a contributing editor for KDnuggets in 2017-18.
If you are interesting in becoming better at statistics and machine learning, then some time should be invested in diving deeper into Bayesian Statistics. While the topic is more advanced, applying these fundamentals to your work will advance your understanding and success as an ML expert.
We update the top AI and Machine Learning projects in Python. Tensorflow has moved to the first place with triple-digit growth in contributors. Scikit-learn dropped to 2nd place, but still has a very large base of contributors.
A complete video guide to Machine Learning in R! This great compilation of tutorials and lectures is an amazing recipe to start developing your own Machine Learning projects.
Random Forest, one of the most popular and powerful ensemble method used today in Machine Learning. This post is an introduction to such algorithm and provides a brief overview of its inner workings.
Get your productivity boosted with Hadley Wickham's powerful R package, tidyverse. It has all you need to start developing your own data science workflows.
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Essential Resources to Learn Bayesian Statistics
Top 20 Python AI and Machine Learning Open Source Projects
Top 10 TED Talks for Data Scientists and Machine Learning Engineers
Random Forests®, Explained