FAQ
Machine Learning Book Recommendations
"Elements of Statistical Learning"
Written by the people who made most of the landmark developments in the field
"Probabilistic Machine Learning"
Fantastic background into the more CS world of machine learning
"Understanding Machine Learning: From Theory to Algorithms"
A bit more mathematical with strong emphasis on optimization and algorithmic execution
"Foundations of Machine Learning"
Very strong emphasis on mathematical aspects such as PAC learning
Stanford course on Machine Learning
YouTube video series
Deep Learning Recommendations
"Neural Networks and Deep Learning"
Stellar introduction from scratch
"Deep Learning"
Nice introduction overview
Introduction to Deep Learning tutorials
YouTube playlist
Stanford Computer Vision course
Deep Learning at Oxford course by Nando de Freitas
"The Principles of Deep Learning Theory"
In-depth perspective
Radboud Related Teaching/Advising
Recommends studying math fundamentals: linear algebra, calculus, optimization, statistics and probability
Provides guidance on thesis supervision and reading
Suggests information for prospective students is available on another page