About Ilan Reinstein

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.

Ilan Reinstein Posts (11)

• Essential Resources to Learn Bayesian Statistics - 28 Jul 2020
  
  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.
• Top 20 Python AI and Machine Learning Open Source Projects - 20 Feb 2018
  
  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.
• Top 10 TED Talks for Data Scientists and Machine Learning Engineers - 10 Jan 2018
  
  A comprehensive and diverse compilation of TED talks to understand the big picture of AI and Machine Learning.
• Best Masters in Data Science and Analytics – Asia and Australia Edition - 14 Dec 2017
  
  The fourth edition of our comprehensive, unbiased survey on graduate degrees in Data Science and Analytics from around the world.
• Best Masters in Data Science and Analytics – Europe Edition - 07 Dec 2017
  
  The third part of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics, examining the programs from Europe.
• Best Masters in Data Science and Analytics in US/Canada - 21 Nov 2017
  
  Second comprehensive list of master's degrees in the US and Canada with tuition information and duration.
• Top 10 Machine Learning with R Videos - 24 Oct 2017
  
  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 Forests®, Explained - 17 Oct 2017
  
  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.
• An opinionated Data Science Toolbox in R from Hadley Wickham, tidyverse - 10 Oct 2017
  
  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.
• XGBoost, a Top Machine Learning Method on Kaggle, Explained - 03 Oct 2017
  
  Looking to boost your machine learning competitions score? Here’s a brief summary and introduction to a powerful and popular tool among Kagglers, XGBoost.