Machine Learning, revised and updated edition

Machine Learning, revised and updated edition

Probabilistic Modelling

Probabilistic Modelling

Bayesian Reasoning and Machine Learning

Probabilistic Machine Learning An Introduction

Algorithmic Aspects of Machine Learning

Introduction to Probability for Computing

Introduction to Probability

Probabilistic Machine Learning An Introduction

Probability and Computing

Probability Theory: An Analytic View

The Cambridge Handbook of Artificial Intelligence

Introduction to Probability

A User's Guide to Measure Theoretic Probability

Stochastic Dynamics, Filtering and Optimization

Measure Theory and Filtering

Introduction to Probability

Probability Theory: The Logic of Science

Introduction to Probability and Statistics from a Bayesian Viewpoint

Introduction to Probability and Statistics from a Bayesian Viewpoint

A Course in Probability

Probability and Statistics by Example

Randomized Algorithms

Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series)

Probabilistic Machine Learning Advanced Topics

Algorithmic Aspects of Machine Learning

Algorithmic Aspects of Machine Learning

An Introduction to Machine Learning

Machine Learning: An Algorithmic Perspective, Second Edition

Probabilistic Machine Learning Advanced Topics

Bayesian Artificial Intelligence, Second Edition

A First Course in Machine Learning, Second Edition

Machine Learning with R

Machine Learning: a Concise Introduction

Machine Learning 1990 International Conference: Proceedings of the Seventh International Conference (1990), University of Texas, Austin, Texas, June 2

Machine Learning and Data Science Fundamentals and Applications

Handbook of Probabilistic Models

Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning

Machine Learning Algorithms and Applications

Introduction to Machine Learning With Python

Probability Designs Literature and Predictive Processing

Introduction to Imprecise Probabilities

Handbook of Probabilistic Models

Introduction to Statistical Machine Learning

The Probabilistic Method

The Probability Companion for Engineering and Computer Science

Probability and Stochastic Processes

Machine Learning: Algorithms and Applications