Machine learning books

Elevate your machine learning skills using the Conformal Prediction framework for uncertainty quantification. Dive...  Read More >>

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This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender...  Read More >>

Your training data has as much to do with the success of your data project as the algorithms themselves--most failures...  Read More >>

This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior...  Read More >>

Generative Adversarial Networks (GANs) in Practice is an all-inclusive resource that provides a solid foundation...  Read More >>

In this practical book, authors Bryan Bischof and Hector Yee illustrate the core concepts and examples to help you...  Read More >>

"Robotics appears as a crucial thread in the complex tapestry of technological growth, woven through the fabric...  Read More >>

""This book offers a critical view on the current practice of machine learning, as well as proposed technical fixes...  Read More >>

Practical patterns for scaling machine learning from your laptop to a distributed cluster. In  Distributed...  Read More >>

This book offers a brief but effective introduction to quantum machine learning (QML). Instead, to immerse the reader...  Read More >>

This book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing...  Read More >>

This book presents advances in business computing and data analytics by discussing recent and innovative machine...  Read More >>

"Embark on a riveting journey into the heart of artificial intelligence with ""Thinking Machines: The Path to Artificial...  Read More >>

In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process.  Read More >>

This practical book shows data analysts, data engineers, BI developers, and data scientists how to create a true...  Read More >>

This book describes the application of machine learning modelling approaches in atomic layer deposition and presents...  Read More >>

This book is about conformal prediction, an approach to prediction that originated in machine learning in the late...  Read More >>

This open access book addresses the epistemological and ontological significance as well as the scope of new mechanism....  Read More >>

Course design myths and concerns debunked Have you ever dreamed of creating a course? Whether it's online, in-person,...  Read More >>

There has been a paradigm shift brought about by the quest to capture and maintain the attention of consumers in...  Read More >>

This open access book addresses the epistemological and ontological significance as well as the scope of new mechanism....  Read More >>

This textbook bridges this gap, providing an introduction to the mathematical foundations for the main algorithms...  Read More >>

Today, we live in the Data Age. Millions of terabytes of data are produced and collected every day. By collecting,...  Read More >>

The book provides both practical and managerial implications of cyber security that also supports business intelligence...  Read More >>