Books

Most of the required books are available on-line:

• Multivariate Data Analysis

  Joseph F. Hair, Barry Babin, Joseph Hair, Rolph Anderson, William C.

• Monographs on Statistics and Applied Probability 37

  P. McCullagh, J.A. Nelder

• Mining of Massive Datasets

  Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman

• The Elements of Statistical Learning

  Trevor Hastie, Robert Tibshirani, Jerome Friedman

• Automated Machine Learning

  Frank Hutter, Lars Kotthoff, Joaquin Vanschoren

• Essential Scala

  Noel Welsh, Dave Gurnell

Additional books:

• R Markdown: The Definitive Guide

  Yihui Xie, J. J. Allaire, Garrett Grolemund

• An Introduction to Statistical Learning

  Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani

• Scala with Cats

  Noel Welsh, Dave Gurnell

• Category Theory for Programmers (Scala Edition)

  Bartosz Milewski

• Generalized Linear Models for Insurance Data

  Piet de Jong, Gillian Z. Heller

• Feature Engineering and Selection

  Max Kuhn, Kjell Johnson