HomeBooksFundamentals of Pattern Recognition and Machine Learning 2nd Edition

Fundamentals of Pattern Recognition and Machine Learning 2nd Edition

English | 2024 | ISBN-10: 3031609492 | 421 pages| PDF (True) | 15 MB

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as deep neural networks and Gaussian process regression. The Second Edition is thoroughly revised, featuring a new chapter on the emerging topic of physics-informed machine learning and additional material on deep neural networks.
Combining theory and practice, this book is suitable for the graduate or advanced undergraduate level classroom and self-study. It fills the need of a mathematically-rigorous text that is relevant to the practitioner as well, with datasets from applications in bioinformatics and materials informatics used throughout to illustrate the theory. These datasets are available from the book website to be used in end-of-chapter coding assignments based on python and Keras/Tensorflow. All plots in the text were generated using python scripts and jupyter notebooks, which can be downloaded from the book website.

- Advertisment -

Operating System

Windows 10

Windows 8

Windows 7

Windows 11

Mageia

Solus OS

openSUSE

Windows 8.1

Android-x86

Zorin OS

Ubuntu MATE

Kubuntu

Deepin

MX Linux

CloudReady

Fedora Linux

elementary OS

Linux Mint

Ubuntu OS

Exit mobile version