Overview
- Presents a full reference to artificial intelligence and machine learning techniques - in theory and application
- Connects all ML and AI techniques to applications and provides their implementations
- Includes exercises to augment the concepts discussed from the chapters to solidify the learnings
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About this book
The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The fourth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. Each chapter is accompanied with a set of exercises that will help the reader / student to apply the learnings from the chapter to a real-life problem. Completion of these exercises will help the reader / student to solidify the concepts learned.
The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. The book covers a large gamut of topics in the area of AI and ML and a professor can tailor a course on AI / ML based on the book by selecting and re-organizing the sequence of chapters to suit the needs.
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Keywords
Table of contents (22 chapters)
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Part III
Reviews
Authors and Affiliations
About the author
Dr. Ameet Joshi received his PhD from Michigan State University in 2006. He has over 15 years of experience in developing machine learning algorithms in various different industrial settings including Pipeline Inspection, Home Energy Disaggregation, Microsoft Cortana Intelligence and Business Intelligence in CRM. He is currently a Data Science Product Manager at Microsoft. Previously, he has worked as Machine Learning Specialist at Belkin International and a Director of Research at Microline Technology Corp. He is a member of several technical committees, has published in numerous conference and journal publications and contributed to edited books. He also has two patents and have received several industry awards including and Senior Membership of IEEE.
Bibliographic Information
Book Title: Machine Learning and Artificial Intelligence
Authors: Ameet V Joshi
DOI: https://doi.org/10.1007/978-3-031-12282-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-12281-1Published: 17 December 2022
eBook ISBN: 978-3-031-12282-8Published: 16 December 2022
Edition Number: 2
Number of Pages: XXI, 271
Number of Illustrations: 4 b/w illustrations, 125 illustrations in colour
Topics: Communications Engineering, Networks, Machine Learning, Artificial Intelligence, Computational Intelligence