Machine learning books

This book features selected papers presented at Third International Conference on International Conference on Information...  Read More >>

This practical guide shows data scientists, data engineers, architects, and business analysts how to get started...  Read More >>

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll...  Read More >>

This textbook provides an accessible overview of statistical learning methods and techniques, and includes case...  Read More >>

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This book is designed for MLOps and ML engineers, data scientists, and software developers who want to build robust...  Read More >>

Medical and Healthcare Robotics: New Paradigms and Recent Advances provides an overview and exclusive insights into...  Read More >>

This book highlights the latest advancements, innovation, technology, and real-world challenges and solutions related...  Read More >>

This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning,...  Read More >>

This book includes high-quality research papers presented at the Sixth International Conference on Innovative Computing...  Read More >>

Document layout analysis (DLA) is a crucial step towards the development of an effective document image processing...  Read More >>

This book highlights contemporary state of research in multidisciplinary areas in computer science, computer engineering,...  Read More >>

With this short but thorough resource, data scientists and Python programmers will learn how the Dask open source...  Read More >>

The main focus of this research work is to improve the forecasting accuracy of solar power generation using three...  Read More >>

Machine learning has revolutionized the field of natural language processing, and one of its key applications is...  Read More >>

This book helps you implement end-to-end serverless architectures for ingestion, analytics, and machine learning...  Read More >>

This book presents the first systematic study of graphical symbol systems, including a history of graphical symbols...  Read More >>

This book is as an extension of the previous two volumes on “Computer Vision and Machine Learning in Agriculture”....  Read More >>

This book constitutes the proceedings of First International Workshop, TML4H 2023, held virtually, in May 2023.The...  Read More >>

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Highlights the importance of ML for IoT’s success and diverse ML-powered IoT applications. This book addresses the...  Read More >>

This book addresses the growing need for machine learning and data mining in neuroscience. The book is replete with...  Read More >>

This book gathers selected, extended and revised contributions to the 17th International Symposium on Computer Methods...  Read More >>

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Domain image retrieval is an emerging field that leverages machine learning techniques to facilitate efficient and...  Read More >>