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Chapman & Hall/CRC Machine Learning & Pattern Recognition

Sparse Modeling: Theory, Algorithms, and Applications

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Artificial Intelligence and Causal Inference

Introduction to Machine Learning with Applications in Information Security

Utility-Based Learning from Data

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Statistical Reinforcement Learning: Modern Machine Learning Approaches

The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions

Regularization, Optimization, Kernels, and Support Vector Machines

Transformers for Machine Learning: A Deep Dive

Entropy Randomization in Machine Learning

A Concise Introduction to Machine Learning

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