Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learnin
Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn and TensorFlow
โ Scribed by Sebastian Raschka, Vahid Mirjalili
- Publisher
- Packt
- Year
- 2017
- Tongue
- English
- Leaves
- 606
- Edition
- 2nd
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Link to the GitHub Repository containing the code examples and additional material: <a target="_blank" rel="noopener nofollow" href="https://github.com/rasbt/python-machine-learning-book">https://github.com/rasbt/python-machi...</a> Many of the most innovative breakthroughs and exciting new techn
Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. Key Features โข Third edition of the bestselling, widely acclaimed Python machine learning book โข Clear and intuitive explanations take you deep into the theory
Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. Key Features โข Third edition of the bestselling, widely acclaimed Python machine learning book โข Clear and intuitive explanations take you deep into the theory an