Published by Springer-Nature New York Inc (edition 2nd ed. 2017), 2017
ISBN 10: 3319639129 ISBN 13: 9783319639123
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Very Good. 2nd ed. 2017. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Condition: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. hardcover Used - Acceptable 2021.
Published by Springer (edition 3rd ed. 2021), 2021
ISBN 10: 3030819345 ISBN 13: 9783030819347
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: As New. 3rd ed. 2021. It's a preowned item in almost perfect condition. It has no visible cosmetic imperfections. May come without any shrink wrap; pages are clean and not marred by notes or folds of any kind.
Condition: new.
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
hardcover. Condition: Very Good.
Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
paperback. Condition: Good. Softcover reprint of the origina. *NEW* One time use physical access code. ALL SALES FINAL.*VALUE PRICED USED BOOK* Book may contain markings, highlights, water damage, and minor cover damage. Used items may not contain supplemental items such as CD, DVD, or other previously included items that would come with a NEW book.
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Condition: New.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condition: New. 3rd ed. 2021 Edition NO-PA16APR2015-KAP.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condition: As New. Unread book in perfect condition.
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Condition: new.
Condition: New.
Condition: New.
Condition: As New. Unread book in perfect condition.
Condition: new.
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Condition: New.
Condition: New. In.
Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030819345 ISBN 13: 9783030819347
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including deep learning, and auto-encoding, introductory information about temporal learning and hidden Markov models, and a much more detailed treatment of reinforcement learning. The book is written in an easy-to-understand manner with many examples and pictures, and with a lot of practical advice and discussions of simple applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, rule-induction programs, artificial neural networks, support vector machines, boosting algorithms, unsupervised learning (including Kohonen networks and auto-encoding), deep learning, reinforcement learning, temporal learning (including long short-term memory), hidden Markov models, and the genetic algorithm. Special attention is devoted to performance evaluation, statistical assessment, and to many practical issues ranging from feature selection and feature construction to bias, context, multi-label domains, and the problem of imbalanced classes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condition: New.
PF. Condition: New.