Machine learning : an algorithmic perspective / Stephen Marsland
Material type:
TextSeries: Machine Learning & Patter RecognistionPublication details: Boca Raton CRC Press 2015Edition: 2nd edDescription: 437 pISBN: - 9781138583405
- 006.31 MAR-S
| Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
Books
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BITS Pilani Hyderabad | 003-007 | General Stack (For lending) | 006.31 MAR-S (Browse shelf(Opens below)) | Checked out | 10/09/2024 | 42084 |
This bestseller helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation. Along with improved Python code, this second edition includes two new chapters on deep belief networks and Gaussian processes. It incorporates new material on the support vector machine, random forests, the perceptron convergence theorem, filters and more. All of the code is available on the author’s website.
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