Stock photo: cover may vary
Machine Learning and Artificial Intelligence Paperback - 2020
by Joshi, Ameet V
- New
- Paperback
A$206.49
A$28.94
Delivery to USA
Standard delivery: 7 to 14 days
More delivery options
Standard delivery: 7 to 14 days
Ships from Revaluation Books (Devon, United Kingdom)
Details
- Title Machine Learning and Artificial Intelligence
- Author Joshi, Ameet V
- Binding Paperback
- Condition New
- Pages 261
- Volumes 1
- Language ENG
- Publisher Springer Nature
- Publication date 2020
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # x-3030266249
- ISBN 9783030266240 / 3030266249
- Weight 0.88 lbs (0.40 kg)
- Dimensions 9.21 x 6.14 x 0.6 in (23.39 x 15.60 x 1.52 cm)
- Category Technology & Industrial Arts
- Dewey Decimal Code 006.3
- Quantity available 2
About Revaluation Books Devon, United Kingdom
Biblio member since 2020
General bookseller of both fiction and non-fiction.
Reader reviews for Machine Learning and Artificial Intelligence
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the rear cover
This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (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 forth 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.
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.
- Presents a full reference to artificial intelligence and machine learning techniques - in theory and application;
- Provides a guide to AI and ML with minimal use of mathematics to make the topics more intuitive and accessible;
- Connects all ML and AI techniques to applications and introduces implementations.
