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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
XOF 44793
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This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.
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What Stands Out
Product Details
| Publisher | O'Reilly Media |
| Publication date | October 4, 2022 |
| Edition | 3rd |
| Language | English |
| File size | 28.1 MB |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 1447 pages |
| ISBN-13 | 978-1098122461 |
| Page Flip | Enabled |
| Item Weight | 2.5 lbs (1.13 kg) |
Who Should Buy?
-
Aspiring Data Scientists
Designed for individuals eager to learn practical machine learning skills through step-by-step projects and example code.
-
AI Enthusiasts
Ideal for hobbyists or professionals looking to enhance their knowledge in artificial intelligence and deep learning frameworks.
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Developers Transitioning
Perfect for software developers wanting to transition into data science with hands-on, applied learning in Python.
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Absolute Beginners
Not suitable for those with no programming experience or foundational knowledge in machine learning concepts.
Product Description
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
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XOF 44793
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Features & Benefits
- Gain intuitive understanding through concrete examples and minimal theory
- Utilize production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow)
- Learn a range of techniques from simple linear regression to deep neural networks
- Get hands-on with numerous code examples and exercises throughout the book
- Suitable for programmers with some prior programming experience
- Explore various models, unsupervised learning techniques, and neural net architectures
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