Machine Learning (Hardcover)

Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models

Introduction to Probability

Introduction to Machine Learning - by Etienne Bernard (Paperback)

Machine Learning

Introduction to Probability Models

Introduction to Probability Models, Ise

Probability: An Introduction

Probability: An Introduction

Pattern Recognition and Machine Learning

Machine Learning for Real World Applications

Probability and Statistics for Computer Science

Data Analysis A Bayesian Tutorial

Data Analysis A Bayesian Tutorial

A Probability and Statistics Companion

Introduction to Probability Models and Applications

An Introduction to Statistical Learning

Probability and Statistics Models for Data Science: From Algorithms to Z Scores

Probability and Random Processes Fourth Edition

Probability and Random Processes Fourth Edition

Explainable Machine Learning Models and Architectures

Modern Probability Theory and Its Applications

Introduction to Probability Theory and Stochastic Processes

Introduction to Probability Multivariate Models and Applications

Introduction to Probability

Introduction to Probability Multivariate Models and Applications

Data Mining and Machine Learning Applications

Statistics and Neural Networks Advances at the Interface

Data Mining and Machine Learning

Introduction to Probability Models, Ise

The Game of Probability

Probabilistic Methods for Financial and Marketing Informatics

The Em Algorithm and Related Statistical Models

Stochastic Relations

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (Hardcover)

Handbook of Expert Systems

The Masterclass of Machine Learning: From Foundations to Frontier is a comprehensive, expertly structured guide that takes readers on a complete journey

Probability and Random Processes

Bundle: Probability and Statistics for Engineering and Science, 8th + Student Solutions Manual

Introduction to Machine Learning

Markov Chains

Bayesian Analysis

Introduction to Probability and Statistics for Engineers and Scientists

Practical Bayesian Inference

Practical Bayesian Inference

Algorithmic Aspects of Machine Learning

Machine Learning For Dummies

Classic Problems of Probability

Advanced Markov Chain Monte Carlo Methods Learning from Past Samples