Chapman & Hall/CRC Machine Learning & Pattern Recognition - Böcker

Pragmatic Programmer for Machine Learning

Engineering Analytics and Data Science Solutions

Pragmatic Programmer for Machine Learning

Engineering Analytics and Data Science Solutions

Utility-Based Learning from Data

First Course in Machine Learning

Statistical Reinforcement Learning

Modern Machine Learning Approaches

Deep Learning and Linguistic Representation

Deep Learning and Linguistic Representation

Sparse Modeling

Theory, Algorithms, and Applications

Regularization, Optimization, Kernels, and Support Vector Machines

Computational Trust Models and Machine Learning

Transformers for Machine Learning

A Deep Dive

Transformers for Machine Learning

A Deep Dive

Artificial Intelligence and Causal Inference

Concise Introduction to Machine Learning

Deep and Shallow

Machine Learning in Music and Audio

Deep and Shallow

Machine Learning in Music and Audio

Artificial Intelligence and Causal Inference

Introduction to Machine Learning with Applications in Information Security

Introduction to Machine Learning with Applications in Information Security

Entropy Randomization in Machine Learning

Entropy Randomization in Machine Learning

Machine Learning, Animated

Machine Learning, Animated

Bayesian Programming

Data Science and Machine Learning

Mathematical and Statistical Methods, Second Edition

Concise Introduction to Machine Learning

Concise Introduction to Machine Learning

Ensemble Methods

Foundations and Algorithms

Introduction to Machine Learning with Applications in Information Security