Machine learning books

Kubeflow simplifies and automates machine learning tasks like interactive analysis, complex pipelines, and model...  Read More >>

‘Fascinating’ Greta Thunberg ‘Extraordinary’ Merlin Sheldrake ‘A must-read’ New Scientist ‘Enthralling’...  Read More >>

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This book reports on cutting-edge research and developments focusing on integrating intelligent functionalities...  Read More >>

This book discusses several exciting research topics and applications in the intelligent Heterogenous Networks (Het-Net)...  Read More >>

This book describes the practical application of artificial intelligence (AI) methods using time series data in...  Read More >>

The book covers different aspects of real-world applications of optimization algorithms. The book consists of research...  Read More >>

This is a guide to learning and mastering machine learning in Google Cloud and a roadmap to becoming a Google Cloud...  Read More >>

This book introduces the latest research on advanced control charts and new machine learning approaches to detect...  Read More >>

Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses...  Read More >>

This book provides a deep insight into the recent techniques which form the backbone of smart environment and addresses...  Read More >>

This book provides insights into smart ways of computer log data analysis, with the goal of spotting adversarial...  Read More >>

Written in accessible language without mathematical formulas, the book covers important machine learning algorithms...  Read More >>

Besides, up to date references are included for the user monitoring technologies with the aim of facilitating independent...  Read More >>

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Written in accessible language without mathematical formulas, the book covers important machine learning algorithms...  Read More >>

It focuses on two aspects – one focuses on architecting a choice process to lead users on the certain choice path...  Read More >>

This Element explores the use of high-dimensional instrumental variables to estimate the influence between US Circuit...  Read More >>

Bayesian modelling is powerful and an increasingly practical tool for thinking about HCI. Intended for researchers...  Read More >>

This concise course in principled data analysis for the mathematically literate uses survey sampling and designed...  Read More >>

Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular...  Read More >>

The purpose of this book is to provide an account of survival analysis. The authors intend to accomplish it from...  Read More >>

This book constitutes the refereed proceedings of the 13th International Conference of the CLEF Association, CLEF...  Read More >>

E-Learning is an ongoing concept to enable to learn and interact at any location and at any time . Web based learning...  Read More >>

Bayesian modelling is powerful and an increasingly practical tool for thinking about HCI. Intended for researchers...  Read More >>