## Favorite Academic Books

*12 December 2019*

*In random order:*

- Pattern Recognition and Machine Learning (a.k.a PRML)
- Machine Learning: a Probabilistic Perspective
- Deep Learning
- Bayesian Reasoning and Machine Learning (a.k.a BRML)
- Model-Based Clustering and Classification for Data Science (a.k.a. MBC)
- The Elements of Statistical Learning
- Artificial Intelligence: A Modern Approach
- Computer Vision: A Modern Approach
- Fundamentals of speech recognition
- A Wavelet Tour of Signal Processing
- Introduction to Algorithms
- Numerical Optimization
- Convex Optimization
- Nonlinear Programming
- Algorithms
- Reinforcement Learning: An Introduction
- Computational Optimal Transport
- Information Theory, Inference, and Learning Algorithms
- Introduction to Information Retrieval
- Foundations of Statistical Natural Language Processing
- A Primer on Neural Network Models for Natural Language Processing