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Item #:
88895662
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, (Paperback)
99% of respondents would recommend this to a friend
Item #:
88895662
SAR 212
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Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | February, 2022 |
| Pages | 774 |
| Subgenre | General |
| Series title | No Series |
| Edition | 1 |
| Publisher | Packt Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | General |
| Is collectible | N |
| Digital file format | |
| Digital reader format | |
| Digital audio file format | |
| Retail packaging | Single Piece |
| Assembled product height | 9.25 in |
| Assembled product weight | 2.88 lb (1.31 kg) |
| Bisac subject heading | Mathematics |
Product Description
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, (Paperback)
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Sebastian Raschka All Books Editorial Review
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, (Paperback) is an insightful textbook published by Packt Publishing, designed for those eager to delve into the realms of machine learning and deep learning. Spanning 774 pages, this non-fiction book not only covers essential concepts but also offers hands-on projects to enhance practical skills. Whether you're a student or a professional looking to master the intricacies of algorithms, it serves as an invaluable resource. The book is written in clear English, making it accessible to a broad audience interested in advancing their knowledge in mathematics and programming.
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Pros
- Rich content on machine learning concepts
- Hands-on projects for practical learning
- Suitable for both beginners and professionals
- Covers deep learning techniques effectively
- Well-organized material for easy understanding
Cons
- Paperback format may be less durable than hard copies
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