Learning from data [electronic resource]: a short course Yaser S. Abu-Mostafa (Author), Malik Magdon-Ismail, Hsuan-Tien Lin

By:

Abu-Mostafa, Yaser S., 1957-

Material type: Text

TextPublication details: AMLBook.com, [United States] 2012 Description: 1 digital resource (xii, 201 pages) : illustrations (chiefly color) 26 cmISBN:

9781600490064

Subject(s):

Machine learning -- Textbooks

DDC classification:

006.31 ABU

Summary: 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

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	CamTech Library	STEM & Engineering	006.31 ABU (Browse shelf(Opens below))	C.1	Available		0000001531
Electronic Materials	CamTech Library	Digital Collections		1 digital item	Available

Browsing CamTech Library shelves, Shelving location: STEM & Engineering Close shelf browser (Hides shelf browser)

Previous								Next
Previous	006.3 OEC Artificial Intelligence in society.	006.3 ROT Artificial Intelligence by Example Acquire Advanced AI, Machine Learning, and Deep Learning Design Skills.	006.3 TAU Artificial intelligence basics a non-technical introduction	006.31 ABU Learning from data [electronic resource]: a short course	006.31 MIS Machine learning for iso developers	006.31 NAT Data science algorithms in a week top 7 algorithms for scientific computing, data analysis, and machine learning	006.312 APE Data science bookcamp : five Python projects /	Next

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

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer