Machine Learning in Python : essential techniques for predictive analysis / Michael Bowles.
By: Bowles, Michael [author.]
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Material type: 
TextPublisher: Indianapolis, IN : New Delhi : John Wiley & Sons, Inc., c2015. [reprint 2018]Description: xxix, 326 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9788126555925.Subject(s): Machine learning | Python (Computer program language) | Python (Lenguaje de programación para computadora)DDC classification: 006.31 | Item type | Current location | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
| Book | BAIUST Library General Stacks | 006.31 B681m (Browse shelf) | 1 | Not For Loan | 010388 | |
| Book | BAIUST Library General Stacks | 006.31 B681m (Browse shelf) | 2 | Available | 010389 | |
| Book | BAIUST Library General Stacks | 006.31 B681m (Browse shelf) | 3 | Available | 010390 |
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| 006.3 Z878a Introduction to artificial neural systems / | 006.3 Z878a Introduction to artificial neural systems / | 006.3 Z878a Introduction to artificial neural systems / | 006.31 B681m Machine Learning in Python : | 006.31 B681m Machine Learning in Python : | 006.31 B681m Machine Learning in Python : | 006.4 D494p Pattern recognition : |
Includes bibliographical references and index.
The two essential algorithms for making predictions -- Understand the problem by understanding the data -- Predictive model building : balancing performance, complexity, and big data -- Penalized linear regression -- Building predictive models using penalized linear methods -- Ensemble methods -- Building ensemble models with Python.
Computer Science and Engineering CSE
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