Building Machine Learning Systems with Python: Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow
โ Scribed by Luis Pedro Coelho; Wilhelm Richert; Matthieu Brucher
- Year
- 2018
- Tongue
- English
- Leaves
- 444
- Edition
- 3
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Who this book is for
What this book covers
What the book will teach you โ and what it will not
โฆ Subjects
artificial intelligence; AI; ML
๐ SIMILAR VOLUMES
Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine learning system Discover how Python offers multiple algorithms for modern machine learning systems Explore key Python machine learning libraries to implement in your
<p><span>Build AI applications using Python to intelligently interact with the world around you.</span></p><p></p><p></p><p><span>Key Features</span><span><br></span></p><p><span>โ Covers the practical aspects of Machine Learning and Deep Learning concepts with the help of this example-rich guide to
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