- Category:
- AI-NN-PR
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- File Size:
- 13.38mb
- Update:
- 2020-07-12
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- Uploaded by:
- bridgeplq
Description: This book is an introduction to machine learning, introduced in Python language. The main contents include: the basic concepts and applications of machine learning; the most commonly used machine learning algorithms in practice and their advantages and disadvantages; the importance of presenting the data to be processed in machine learning, and what aspects of data should be focused on; advanced methods of model evaluation and parameter adjustment, focusing on cross validation and grid search; the concept of pipeline; how to The methods in the previous chapters are applied to text data, and some text specific processing methods are also introduced.
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| Filename | Size | Date |
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| Python机器学习基础教程(完整电子版).pdf | 29659554 | 2020-07-09 |
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