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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
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Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.
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What Stands Out
Rincian Produk
- Third edition of the bestselling Python machine learning book
- Clear and intuitive explanations of machine learning techniques
- Updated and expanded for TensorFlow 2, GANs, and reinforcement learning
- Covers scikit-learn, TensorFlow, and PyTorch frameworks
- Includes practical examples for image classification, sentiment analysis, and more
- Suitable for beginners and intermediate readers
| Publisher | Packt Publishing |
| Publication date | 12 Dec. 2019 |
| Edition | 3rd Revised edition |
| Language | English |
| Print length | 770 pages |
| ISBN-10 | 1789955750 |
| ISBN-13 | 978-1789955750 |
| Item weight | 1.3 kg |
| Dimensions | 19.05 x 4.42 x 23.5 cm |
Who Should Buy?
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Aspiring Data Scientists
Ideal for beginners looking to understand machine learning fundamentals and build a solid foundation in Python.
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Software Developers
Great for developers wanting to integrate machine learning capabilities into existing applications using Python libraries.
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Students and Educators
Suitable for academic purposes, providing clear explanations and practical examples for coursework or research.
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Complete Beginners
Not suitable for those with no programming background, as some prior knowledge of Python is recommended.
DESKRIPSI PRODUK
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
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IDR 1754385
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Fitur & Manfaat
- Comprehensive guide to machine learning and deep learning with Python
- Covers all the essential machine learning techniques in depth
- Introduces readers to TensorFlow 2.0 and latest additions to scikit-learn
- Explores cutting-edge reinforcement learning techniques based on deep learning
- Ideal for developers and data scientists who want to create practical machine learning and deep learning code
- Teaches principles behind machine learning, allowing you to build models and applications for yourself
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