What to Read After The Elements of Statistical Learning
Readers who loved The Elements of Statistical Learning by Trevor Hastie keep reaching for these 24 books. This list is built from where The Elements of Statistical Learning is read alongside other books across reader co-reads and book lists. The more independent sources agree on a title, the higher it ranks.
Books to read after The Elements of Statistical Learning
Pattern Recognition and Machine Learning (Information Science and Statistics)
An Introduction To Statistical Learning With Applications In R
Machine Learning
Mining of Massive Datasets
Programming Collective Intelligence
INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.
Pattern Classification
The Master Algorithm
Data Analysis with Open Source Tools
Probability Theory
Doing Data Science
Elements of Information Theory
Machine Learning (Mcgraw-Hill International Edit)
Statistics
All of Statistics
Probabilistic Graphical Models
Concrete Mathematics
Machine Learning
Doing Bayesian Data Analysis
An Introduction to Statistical Learning
Causality
The Mathematical Theory of Communication
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Mostly Harmless Econometrics