Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

Introduction to Machine Learning with Applications in Information Security

Computational Trust Models and Machine Learning

A First Course in Machine Learning

Data Science and Machine Learning

Machine Learning, Animated

Deep Learning and Linguistic Representation

Handbook of Natural Language Processing

Entropy Randomization in Machine Learning

Artificial Intelligence and Causal Inference

Computational Trust Models and Machine Learning

Statistical Reinforcement Learning

Statistical Reinforcement Learning

Artificial Intelligence and Causal Inference

The Pragmatic Programmer for Machine Learning

Introduction to Machine Learning with Applications in Information Security

The Pragmatic Programmer for Machine Learning

Bayesian Programming

Deep and Shallow

A Concise Introduction to Machine Learning

Utility-Based Learning from Data

Machine Learning

Data Science and Machine Learning

A First Course in Machine Learning

Multi-Label Dimensionality Reduction

Introduction to Machine Learning with Applications in Information Security

Regularization, Optimization, Kernels, and Support Vector Machines

Sparse Modeling

Deep and Shallow

Transformers for Machine Learning

Bayesian Programming

A Concise Introduction to Machine Learning

Machine Learning, Animated

Sparse Modeling

Regularization, Optimization, Kernels, and Support Vector Machines

Entropy Randomization in Machine Learning

Utility-Based Learning from Data

Ensemble Methods

Deep Learning and Linguistic Representation

Transformers for Machine Learning

Multilinear Subspace Learning