Machine Learning

Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activit...

This volume takes the reader on a technological voyage of machine learning advancements, highlighting the systematic changes in algorithms, challen...

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by h...

Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide varie...

This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regu...

Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of b...

This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in th...

Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approac...

Learn to leverage Microsoft's new AI tool, Copilot, for enhanced productivity at work In Microsoft 365 Copilot At Work: Using AI to Get the Most fr...

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artifi...

Understand basic to advanced deep learning algorithms, the mathematical principles behind them, and their practical applications.Key Features Get u...

This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in th...

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be a...

Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowi...

Lucidly Integrates Current ActivitiesFocusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics present...

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic...

Text analytics (TA) covers a very wide research area. Its overarching goal is to discover and present knowledge — facts, rules, and relationships —...

This unique compendium gives an updated presentation of clustering, one of the most challenging tasks in machine learning. The book provides a unit...

This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical...

The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for design...

In Contingent Computation, M. Beatrice Fazi offers a new theoretical perspective through which we can engage philosophically with computing. The bo...

This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, s...

Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python program...

This book reviews that narrate the development of current technologies under the theme of the emerging concept of healthcare, specifically in terms...

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to sever...

Nanetti outlines a methodology for deploying artificial intelligence and machine learning to enhance historical research.Historical events are the ...

This book addresses the growing need for machine learning and data mining in neuroscience. The book offers a basic overview of the neuroscience, ma...

This book aims to reach an understanding of how the mind carries out three sorts of thinking -- deduction, induction, and creation -- to consider w...

Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have ac...

This book represents a selection of papers presented at the Inductive Logic Programming (ILP) workshop held at Cumberland Lodge, Great Windsor Park...

This book covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. The book succeeds on two key unique ...

MACHINE AND DEEP LEARNING In-depth resource covering machine and deep learning methods using MATLAB tools and algorithms, providing insights and al...

Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is in...

This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of ma...

Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this ...