What to Read After Pattern Classification
Readers who loved Pattern Classification by Richard O. Duda keep reaching for these 24 books. This list is built from where Pattern Classification 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 Pattern Classification
Pattern Recognition and Machine Learning (Information Science and Statistics)
The Elements of Statistical Learning
Machine Learning (Mcgraw-Hill International Edit)
Discrete-time Signal Processing
Artificial Intelligence
All of Statistics
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Speech and Language Processing
Elements of Information Theory
Paradigms of Artificial Intelligence
Programming Collective Intelligence
Introduction to Information Retrieval
Python Machine Learning
Machine Learning
Data Mining
Microprocessor Architecture, Programming, and Applications with the 8085
Machine Learning
Microprocessors and Interfacing
INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.
The Algorithm Design Manual
Introduction to the Theory of Computation
Introduction to Algorithms
Pragmatic Programmer
Lord of Light