Introduction to Automata Theory, Languages, and Computation

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

Human + Machine: Reimagining Work in the Age of AI

Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

Causal Inference in R: Decipher complex relationships with advanced R techniques for data-driven decision-making

An Introduction to Information Theory (Dover Books on Mathematics)

Practical Time Series Analysis: Prediction with Statistics and Machine Learning

Every Bit Counts (Chapman & Hall/CRC Computational Science)

Practical Guide to Applied Conformal Prediction in Python: Learn and apply the best uncertainty frameworks to your industry applications

Machine Learning Pocket Reference: Working with Structured Data in Python