Introduction to machine learning with Python a guide for data scientists
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solu...
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| Format: | eBook |
| Language: | Inglés |
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Beijing :
O'Reilly
2016.
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630229006719 |
Table of Contents:
- 1. Introduction
- 2. Supervised learning
- 3. Unsupervised learning and preprocessing
- 4. Representing data and engineering features
- 5. Model evaluation and improvement
- 6. Algorithm chains and pipelines
- 7. Working with text data
- 8. Wrapping up
- Index.
