Understanding Machine Learning: from theory to algorithms Shai Shalev-Shwartz
Material type:
TextPublication details: New Delhi Cambridge University Press 2017Description: xvi, 397pISBN: 9781107512825Subject(s): Artificial Intelligence | Machine LearningDDC classification: 006.312 SHA
| Item type | Current library | Collection | Call number | Vol info | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
TEXT BOOK
|
LRC_JUIT Computer Science & Engineering | TEXTBOOK SECTION | 006.312 SHA (Browse shelf (Opens below)) | Copy 1 | Available | 034102 |
Total holds: 0
Browsing LRC_JUIT shelves, Shelving location: Computer Science & Engineering, Collection: TEXTBOOK SECTION Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| 006.312 RAJ Mining of Massive Datasets | 006.312 RAJ Mining of Massive Datasets | 006.312 SAL Data Science and Analytics with Python | 006.312 SHA Understanding Machine Learning: from theory to algorithms | 006.312 SKI Data Science Design Manual: Texts in Computer Science | 006.312 STE Big Data Demystified: how to use big data, data science and AI to make better business decisions and gain competitive advantage | 006.312 TIG Google BigQuery Analytics |
There are no comments on this title.