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| Trường DC | Giá trị | Ngôn ngữ |
|---|---|---|
| dc.contributor | Albon, Chris | - |
| dc.contributor.author | Gallatin, Kyle | - |
| dc.date.accessioned | 2024-03-30T07:18:06Z | - |
| dc.date.available | 2024-03-30T07:18:06Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/9725 | - |
| dc.description.abstract | This practical guide provides more than 200 self-contained recipes to help you solve Machine Learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems all the way from loading data to training models and leveraging neural networks | vi |
| dc.format.extent | 109ps | vi |
| dc.language.iso | en | vi |
| dc.publisher | O'Reilly Media, Inc | vi |
| dc.subject | Lập trình Python | vi |
| dc.subject | Ngôn ngữ Python | vi |
| dc.subject | Lập trình phản ứng | vi |
| dc.title | Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning | vi |
| dc.type | Sách/Book | vi |
| Bộ sưu tập | Tin học | |
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