Machine Learning Refined: Foundations, Algorithms, and Applications, Hardcover - Jeremy Watt

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed...

Computational geometry emerged from the ?eld of algorithms design and analysis in the late 1970s. It has grown into a recognized discipline with it...

Publisher: Elsevier Science & TechnologyNumber of pages: 264Collection: Cognitive Data Science in Sustainable ComputingPublication date: 2022Dimens...

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce ...

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Machine Learning: The Art and Science of Algorithms that Make Sense of Data - Peter Flach

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.

DescriptionLearn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document cla...

This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth of examples in...

If you're at the beginner stage and are looking to gain new knowledge about machine learning then keep reading...WARNING: Do not read this book if ...

Publisher: De GruyterIllustration(s): 50 Illustrations, black and whiteNumber of pages: 153Collection: De Gruyter Frontiers in Computational Intell...

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Machine Learning in Healthcare discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. It covers fu...

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DescriptionSelf-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you ...

Master new, disruptive technologies in the field of auditing Agile Auditing: Fundamentals and Applications introduces readers to the applications a...

Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, t...

DescriptionAn updated review of the theories and applications of corporate risk management After the financial crisis of 2008, issues concerning co...

This updated second edition describes the intuition behind deep learning innovations without jargon or complexity. By the end of this book, Python-...

This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, a...

The aim of this book is to teach core concepts of machine learning while focuses on modern applications. It is meant for anyone who wants to master...

Reducere. Refuel your AI Models and ML applications with High-Quality Optimization and Search Solutions Key FeaturesComplete coverage on practical implementa...

Reducere. DescriptionGet a hands-on introduction to building and using decision trees and random forests. Tree-based machine learning algorithms are used to ...

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The new edition of this leading text atlas on corneal topography has been updated to include the latest advances in technology, such as Pentacam an...

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The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and pract...

Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineer...

This book presents a comprehensive and up-to-date account of the theory (physical principles), design, and practical implementations of various sen...

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Presents the theory and methodology for reliability assessments of safety-critical functions through examples from a wide range of applications Rel...

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