Picture 1 of 1
Gallery
Picture 1 of 1
Have one to sell?
Understanding Machine Learning by Shai Shalev-Shwartz
AlibrisBooks
(497684)
Business
US $45.57
ApproximatelyEUR 39.58
Condition:
- Buy it nowUnderstanding Machine Learning by Shai Shalev-Shwartz: Used
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Postage:
Free Standard Shipping.
Located in: Sparks, Nevada, United States
Delivery:
Estimated between Fri, 28 Nov and Wed, 3 Dec to 94104
Returns:
30 days return. Buyer pays for return postage. If you use an eBay delivery label, it will be deducted from your refund amount.
Payments:
Shop with confidence
About this item
Seller assumes all responsibility for this listing.
eBay item number:403944431116
Item specifics
- Condition
- Book Title
- Understanding Machine Learning
- Publication Date
- 2014-05-19
- Pages
- 410
- ISBN
- 9781107057135
About this product
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
1107057132
ISBN-13
9781107057135
eBay Product ID (ePID)
171820749
Product Key Features
Number of Pages
410 Pages
Publication Name
Understanding Machine Learning : from Theory to Algorithms
Language
English
Publication Year
2014
Subject
Algebra / General, Computer Vision & Pattern Recognition
Type
Textbook
Subject Area
Mathematics, Computers
Format
Hardcover
Dimensions
Item Height
1.1 in
Item Weight
32.2 Oz
Item Length
10.2 in
Item Width
7.2 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2014-001779
Reviews
Advance praise: 'This elegant book covers both rigorous theory and practical methods of machine learning. This makes it a rather unique resource, ideal for all those who want to understand how to find structure in data.' Bernhard Schölkopf, Max Planck Institute for Intelligent Systems, "This elegant book covers both rigorous theory and practical methods of machine learning. This makes it a rather unique resource, ideal for all those who want to understand how to find structure in data." Bernhard Schlkopf, Max Planck Institute for Intelligent Systems
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3/1
Table Of Content
1. Introduction; Part I. Foundations: 2. A gentle start; 3. A formal learning model; 4. Learning via uniform convergence; 5. The bias-complexity trade-off; 6. The VC-dimension; 7. Non-uniform learnability; 8. The runtime of learning; Part II. From Theory to Algorithms: 9. Linear predictors; 10. Boosting; 11. Model selection and validation; 12. Convex learning problems; 13. Regularization and stability; 14. Stochastic gradient descent; 15. Support vector machines; 16. Kernel methods; 17. Multiclass, ranking, and complex prediction problems; 18. Decision trees; 19. Nearest neighbor; 20. Neural networks; Part III. Additional Learning Models: 21. Online learning; 22. Clustering; 23. Dimensionality reduction; 24. Generative models; 25. Feature selection and generation; Part IV. Advanced Theory: 26. Rademacher complexities; 27. Covering numbers; 28. Proof of the fundamental theorem of learning theory; 29. Multiclass learnability; 30. Compression bounds; 31. PAC-Bayes; Appendix A. Technical lemmas; Appendix B. Measure concentration; Appendix C. Linear algebra.
Synopsis
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering., Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering., Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the 'hows' and 'whys' of machine-learning algorithms, making the field accessible to both students and practitioners.
LC Classification Number
Q325.5 .S475 2014
Item description from the seller
Seller business information
Extended Producer Responsibility (EPR) numbers:
A seller has an EPR number if they've registered with the government as a producer of a certain type of product and taken responsibility for managing the waste that product creates.
About this seller
AlibrisBooks
99.1% positive Feedback•2.0M items sold
Registered as a business seller
Seller Feedback (552,781)
- r***g (243)- Feedback left by buyer.Past monthVerified purchaseBook was "nearly new" and "as described" in listing. The advertised price was fair and a good value. Unfortunately, the seller's shipping partner was very slow to get the book packaged and shipped. Shipping took too long, and the tracking info gave no reliable info on shipping date, time in transit or expected delivery. Seller did everything right, but their shipping partner needs improvement. I recommend this seller to other eBay buyers....... just make sure you're okay with the shipping terms.
- e***u (283)- Feedback left by buyer.Past monthVerified purchaseThe listing was for a hardcover version of this book; however, I received a paperback. The Seller replied quickly to my question about this issue and issued a full refund - and let me keep the book. So, a diligent Seller for sure - and well packaged and reasonable timing on shipping. Thank you for the refund, and as you suggested, I'll likely donate this volume and seek the hardcover.
- e***n (392)- Feedback left by buyer.Past 6 monthsVerified purchaseGreat transaction, exactly as described, packed well, and promptly shipped on August 6th. Unfortunately the U.S. Postal Service took 23 calendar days to deliver the book. It was shipped from Pennsylvania, to Atlanta, past Alabama to Texas, enjoyed several days in Texas, then to Minneapolis, Jacksonville, Florida, back to Atlanta, finally to Birmingham, and Huntsville. The seller was very responsive and I decided it was interesting to see if/how the book would arrive. Thanks, JoeDrumsville!: The Evolution of the New Orleans Beat by Robert Cataliotti: Used (#405155037686)
More to explore:
- Look and Learn Magazines,
- Learning to Read Fiction & Fiction Books,
- Workbook Adult Learning & University Books,
- Media Adult Learning & University Books,
- Mathematics Adult Learning & University Books,
- Ethics Adult Learning & University Books,
- Adult Learning & University Books,
- Strategy Adult Learning & University Books,
- Economics Adult Learning & University Books,
- April Look and Learn Magazines
Seller Feedback (552,781)
- r***g (243)- Feedback left by buyer.Past monthVerified purchaseBook was "nearly new" and "as described" in listing. The advertised price was fair and a good value. Unfortunately, the seller's shipping partner was very slow to get the book packaged and shipped. Shipping took too long, and the tracking info gave no reliable info on shipping date, time in transit or expected delivery. Seller did everything right, but their shipping partner needs improvement. I recommend this seller to other eBay buyers....... just make sure you're okay with the shipping terms.
- e***u (283)- Feedback left by buyer.Past monthVerified purchaseThe listing was for a hardcover version of this book; however, I received a paperback. The Seller replied quickly to my question about this issue and issued a full refund - and let me keep the book. So, a diligent Seller for sure - and well packaged and reasonable timing on shipping. Thank you for the refund, and as you suggested, I'll likely donate this volume and seek the hardcover.
- e***n (392)- Feedback left by buyer.Past 6 monthsVerified purchaseGreat transaction, exactly as described, packed well, and promptly shipped on August 6th. Unfortunately the U.S. Postal Service took 23 calendar days to deliver the book. It was shipped from Pennsylvania, to Atlanta, past Alabama to Texas, enjoyed several days in Texas, then to Minneapolis, Jacksonville, Florida, back to Atlanta, finally to Birmingham, and Huntsville. The seller was very responsive and I decided it was interesting to see if/how the book would arrive. Thanks, JoeDrumsville!: The Evolution of the New Orleans Beat by Robert Cataliotti: Used (#405155037686)