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 learnin...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Sebastopol, CA
O'Reilly Media, Inc
2017
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| Edition: | First edition |
| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Supervised learning
- Unsupervised learning and preprocessing
- Representing data and engineering features
- Model evaluation and improvement
- Algorithm chains and pipelines
- Working with text data
- Wrapping up