Learning from data: a short course
(Book)
Author:
Contributors:
Published:
[United States] : AMLBook.com, [2012].
Format:
Book
Physical Desc:
xii, 201 pages : illustrations (chiefly color) ; 26 cm
Status:
ASU Main (3rd floor)
Q325.5 .A28 2012
Copies
Location
Call Number
Status
Last Check-In
ASU Main (3rd floor)
Q325.5 .A28 2012
On Shelf
May 26, 2022
Subjects
LC Subjects
Other Subjects
Citations
APA Citation (style guide)
Abu-Mostafa, Y. S., Magdon-Ismail, M., & Lin, H. (2012). Learning from data: a short course. [United States], AMLBook.com.
Chicago / Turabian - Author Date Citation (style guide)Abu-Mostafa, Yaser S., 1957-, Malik. Magdon-Ismail and Hsuan-Tien. Lin. 2012. Learning From Data: A Short Course. [United States], AMLBook.com.
Chicago / Turabian - Humanities Citation (style guide)Abu-Mostafa, Yaser S., 1957-, Malik. Magdon-Ismail and Hsuan-Tien. Lin, Learning From Data: A Short Course. [United States], AMLBook.com, 2012.
MLA Citation (style guide)Abu-Mostafa, Yaser S., et al. Learning From Data: A Short Course. [United States], AMLBook.com, 2012.
Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
Description
Description not provided
More Details
Language:
English
ISBN:
1600490069, 9781600490064
Notes
Bibliography
Includes bibliographical references (pages 183-186) and index.
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Grouped Work ID:
aa50db0d-7c28-9f35-acc5-7834202c64e5
Record Information
| Last Sierra Extract Time | Apr 24, 2024 03:07:35 AM |
|---|---|
| Last File Modification Time | Apr 24, 2024 03:07:46 AM |
| Last Grouped Work Modification Time | Apr 24, 2024 03:07:42 AM |
MARC Record
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| 003 | OCoLC | ||
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| 245 | 1 | 0 | |a Learning from data :|b a short course /|c Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin. |
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| 264 | 4 | |c ©2012 | |
| 300 | |a xii, 201 pages :|b illustrations (chiefly color) ;|c 26 cm | ||
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| 337 | |a unmediated|b n|2 rdamedia | ||
| 338 | |a volume|b nc|2 rdacarrier | ||
| 504 | |a Includes bibliographical references (pages 183-186) and index. | ||
| 505 | 0 | |a 1. The learning problem -- 2. Training versus testing -- 3. The linear model -- 4. Overfitting -- 5. Three learning principles -- Epilogue -- Further reading -- Appendix : Proof of the VC bound -- Notation. | |
| 650 | 0 | |a Machine learning|0 https://id.loc.gov/authorities/subjects/sh85079324|v Textbooks.|0 https://id.loc.gov/authorities/subjects/sh99001753 | |
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| 948 | |a MARCIVE August, 2017 | ||
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