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Machine Learning by Thomas M. Mitchell (1997, Hardcover)
US $65.00
ApproximatelyS$ 83.49
Condition:
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
4 available6 sold
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Shipping:
US $5.00 (approx S$ 6.42) Standard Shipping from outside US.
Located in: KL, Malaysia
Delivery:
Estimated between Tue, 2 Sep and Fri, 19 Sep to 94104
Returns:
30 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
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:223460874532
Item specifics
- Condition
- ISBN
- 9780070428072
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
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- _***h (192)- Feedback left by buyer.More than a year agoVerified purchasethe item was exactly as described and pictured. packaged great. thanks tons. love it.
- a***i (336)- Feedback left by buyer.Past monthVerified purchaseGreat communication about shipping time. The book arrived in perfect new condition. Fair price & shipping fees.
- 8***6 (26)- Feedback left by buyer.Past 6 monthsVerified purchaseMisleading post. This "book" is printed all in loose pages with no binding/cover. Do not buy from this seller!Using SPSS for Windows and Macintosh by Samuel Green and Neil J. Salkind (2016, (#223892973295)
- s***l (339)- Feedback left by buyer.Past yearVerified purchaseEverything as described and shipped quicklyAssessing Learners with Special Needs : An Applied Approach, Enhanced Pearson ET (#223460874531)

