February 13, 2018

The full list of the books in my shelf is on my Goodreads account 1. The ones I refer to the most are listed here:

Deep Learning
Deep Learning with R Francois Chollet
Handbook Of Neural Computing Applications Alianna J Maren
Deep Learning Ian Goodfellow
LSTM with Python Jason Brownlee
Generalized Additive Models: An Introduction with R, Second Edition Simon Wood
Applied Regression Modeling Iain Pardoe
Generalized Linear Models John P. Hoffmann
Introduction to Linear Regression Analysis Douglas Montgomery
Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems Aurelien Geron
Flexible Imputation of Missing Data Stef van Buuren
Applied Predictive Modeling Max Kuhn
An Introduction to Statistical Learning: With Applications in R Trevor Hastie
Python for Data Analysis Wes McKinney
Introducing Python: Modern Computing in Simple Packages Bill Lubanovic
Python Cookbook David Beazley
Multivariate Statistical Quality Control Using R Edgar Santos
Statistics for Experimenters: Design, Innovation, and Discovery George Box
Quality Control with R: An ISO Standards Approach Emilio L Cano
Design and Analysis of Experiments with R John Lawson
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data Hadley Wickham
Testing R Code Richard Cotton
R Packages Hadley Wickham
Advanced R Hadley Wickham
The Essentials of Probability Richard Durrett
Probability and Statistical Inference Robert Hogg
Applied Multivariate Statistical Analysis Richard Johnson
Multivariate Statistical Methods Donald Morrison
Mathematical Statistics and Data Analysis John Rice
Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your Data Jason Osborne
Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences Brian Everitt
Natural Language Processing with Python Steven Bird
Text Mining with R Julia Silge
Information Dashboard Design: Displaying Data for At-a-Glance Monitoring Stephen Few
Lattice: Multivariate Data Visualization with R Deepayan Sarkar
ggplot2: Elegant Graphics for Data Analysis Hadley Wickham
Data Visualisation: A Handbook for Data Driven Design Andy Kirk

  1. Most of them are a result of my MSPA coursework. Others are from colleagues. I’m always searching for good literature to study from. If you have suggestions, please drop me a note.

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