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Machine Learning (McGraw-Hill Serie..., Mitchell, Thoma
US $51.99
ApproximatelyRM 219.76
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
Last one1 sold
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Shipping:
Free USPS Media MailTM.
Located in: Montgomery Illinois, United States
Delivery:
Estimated between Thu, 28 Aug and Thu, 4 Sep to 94104
Returns:
30 days return. Seller pays for return shipping.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
Seller assumes all responsibility for this listing.
eBay item number:354620780003
Item specifics
- Condition
- Book Title
- Machine Learning (McGraw-Hill Series in Computer Science)
- ISBN
- 0070428077
- EAN
- 9780070428072
- Date of Publication
- 1997-04-30
- Release Title
- Machine Learning (McGraw-Hill Series in Computer Science)
- Artist
- Mitchell, Thomas
- Brand
- N/A
- Colour
- N/A
About this product
Product Identifiers
Publisher
Mcgraw-Hill Education
ISBN-10
0070428077
ISBN-13
9780070428072
eBay Product ID (ePID)
990689
Product Key Features
Number of Pages
432 Pages
Publication Name
Machine Learning
Language
English
Publication Year
1997
Subject
Programming / Algorithms, Mechanical
Type
Textbook
Subject Area
Computers, Technology & Engineering
Format
Hardcover
Dimensions
Item Height
1.3 in
Item Weight
32.6 Oz
Item Length
9.5 in
Item Width
6.6 in
Additional Product Features
Intended Audience
College Audience
LCCN
97-007692
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
006.3/1
Table Of Content
Chapter 1. Introduction Chapter 2. Concept Learning and the General-to-Specific Ordering Chapter 3. Decision Tree Learning Chapter 4. Artificial Neural Networks Chapter 5. Evaluating Hypotheses Chapter 6. Bayesian Learning Chapter 7. Computational Learning Theory Chapter 8. Instance-Based Learning Chapter 9. Inductive Logic Programming Chapter 10. Analytical Learning Chapter 11. Combining Inductive and Analytical Learning Chapter 12. Reinforcement Learning.
Synopsis
This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.
LC Classification Number
Q325.5.M58 1997
Item description from the seller
Seller feedback (274,478)
- w***a (182)- Feedback left by buyer.Past monthVerified purchaseGood deal
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- a***r (195)- Feedback left by buyer.Past monthVerified purchaseAll is good. Item as described. Shipped on time. Would shop again with the seller.
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Seller feedback (274,478)
- w***a (182)- Feedback left by buyer.Past monthVerified purchaseGood deal
- x***s (75)- Feedback left by buyer.Past monthVerified purchaseWould definitely buy from again.
- a***r (195)- Feedback left by buyer.Past monthVerified purchaseAll is good. Item as described. Shipped on time. Would shop again with the seller.