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 ...

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 ...

This course is the starting point for learning about statistical analysis in clinical and public health research. Attendees will learn the key concepts from statisticians working with the many ...

Throughout the week, you will learn how to apply SVMs to classify or predict outcomes in a given dataset, select appropriate kernel functions and parameters, and evaluate model performance. In this ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

In what way can we reduce misclassification bias in statistical learning so that we obtain more accurate classifier-based statistics? There are two conflicting developments that affect the field of ...

This course is compulsory on the MSc in Data Science. This course is available on the MPA in Data Science for Public Policy, MSc in Applied Social Data Science, MSc in Econometrics and Mathematical ...