A course in statistics at the level of IEMS 303; A course in matrix analysis; Proficiency in programming, as extensive coding will be a key part of the curriculum. This course is considered a ...

I’m excited to be writing this book review. It is a book for which I’ve been waiting a long time. An Introduction to Statistical Learning with Application in R by James, Witten, Hastie, and Tibshirani ...

Predictive modeling of data using modern regression and classification methods. Multiple linear regression; logistic regression; pitfalls and diagnostics; nonparametric and nonlinear regression and ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

We are starting off the course with a busy week. This week's module has two parts. In the first part, after a quick introduction to Deep Learning's exciting applications in self-driving cars, medical ...