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.
Probabilistic Graphical Models
Introduction to Information Retrieval
An Introduction to Statistical Learning
Probabilistic Reasoning in Intelligent Systems
Causality
Machine Learning (Mcgraw-Hill International Edit)
Data Analysis
Data Mining
Probability Theory
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