An-Introduction-to-Statistical-Learning is one of the most popular books among data scientists to learn the conepts and intuitions behind machine learning algorithms, however, the exercises are ...

I love the book << An Introduction to Statistical Learning with Applications in R>> by Gareth James • Daniela Witten • Trevor Hastie and Robert Tibshirani. This book has been super helpful for me. In ...

Please see the Module Guides section on the Course Structure and Content pages of the Department of Mathematics for details on this module.

This course is the starting point for learning about statistical analysis in clinical and public ... correlation coefficients, and an introduction to linear regression. But attendees should be ...

Looking for a way to address barriers to statistical literacy and help students reach their statistical potential? This piece offers a psychosocial approach to teaching statistics to promote deeper ...

Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, ...

Daniel Bird: Tuesday 9:00am-10:00am in GHC 8110 Shubhranshu Shekhar: Thursday 10:30am-11:30am in HBH 3037 Zirui Wang: Thursday 3:00pm-4:00pm at GHC 8th Floor Study Area Adithya Raghuraman: Wednesday ...

Statistical relational learning builds on ideas from probability theory and statistics to address uncertainty while incorporating tools from logic, databases and programming languages to represent ...