What to Read After Machine Learning
Readers who loved Machine Learning by Kevin P. Murphy keep reaching for these 24 books. This list is built from where Machine 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 Machine Learning
The Elements of Statistical Learning
Pattern Recognition and Machine Learning (Information Science and Statistics)
An Introduction To Statistical Learning With Applications In R
Mining of Massive Datasets
INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.
Introduction to Information Retrieval
Probabilistic Graphical Models
Machine Learning (Mcgraw-Hill International Edit)
An Introduction to Statistical Learning
Causality
Probabilistic Reasoning in Intelligent Systems
Data Analysis
Probability Theory
Data Mining
Pattern Classification
Python For Data Analysis
The Art of R Programming
Artificial Intelligence
Algorithms to Live By
Introduction to Algorithms
Fooled by Randomness
Pragmatic Programmer
Gödel, Escher, Bach
The Code Book