Machine learning books

This book discusses the various machine learning, deep learning, big data and internet of things technologies for...  Read More >>

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

This book features research papers presented at the 5th International Conference on Intelligent Sustainable Systems...  Read More >>

Part 3 (Chapters 11-16) introduces some advanced topics, covering feature selection and sparse learning, computational...  Read More >>

By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained...  Read More >>

This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing,...  Read More >>

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Effective Data Science Infrastructure is a hands-on guide to assembling infrastructure for data science and machine...  Read More >>

This book gathers selected research papers presented at the Third International Conference on Communication and...  Read More >>

The recent understandings about global earth mechanics are widely based on huge amounts of monitoring data accumulated...  Read More >>

Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks...  Read More >>

Development of a multiscale remote sensing dataset of the mining area, including mine target remote sensing dataset,...  Read More >>

This book provides an overview of different deep learning-based methods for face recognition and related problems....  Read More >>

This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference...  Read More >>

This two-volume set of LNCS 13393 and LNCS 13394 constitutes - in conjunction with the volume LNAI 13395 - the refereed...  Read More >>

This two-volume set of LNCS 13393 and LNCS 13394 constitutes - in conjunction with the volume LNAI 13395 - the refereed...  Read More >>

This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference...  Read More >>

This book provides readers with a guide to the use of Digital Twin in manufacturing. It presents a collection of...  Read More >>

A theory behind computing machines KEY FEATURES ● Algorithmic ideas are made simple to understand through...  Read More >>

This is the first technical book that considers tests as public tools and examines how to engineer and process test...  Read More >>

The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk...  Read More >>

The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk...  Read More >>

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This book assumes ZERO prior knowledge of AI or machine learning and explains in an easy-to-understand way, how...  Read More >>

Entropy Randomization in Machine Learning presents a new approach to machine learning - entropy randomization -...  Read More >>