You must understand the algorithms to get good (and be recognized as being good) at machine learning. In this mega Ebook is written in the friendly Machine Learning Mastery style that youβre used to, finally cut through the math and learn exactly how machine learning algorithms work, then impleme
Master Machine Learning Algorithms: Discover How They Work and Implement Them From Scratch
β Scribed by Jason Brownlee
- Year
- 2016
- Tongue
- English
- Leaves
- 162
- Series
- 1.12
- Category
- Library
No coin nor oath required. For personal study only.
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<p><b>An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms</b><p><b>Key Features</b><p><li>Explore statistics and complex mathematics for data-intensive applications<li>Discover new developments in EM algorithm, PCA, and bayesian r
This book is your guide to quickly get to grips with the most widely used machine learning algorithms. As a data science professional, this book will help you design and train better machine learning models to solve a variety of complex problems, and make the machine learn your requirements.
This book is your guide to quickly get to grips with the most widely used machine learning algorithms. As a data science professional, this book will help you design and train better machine learning models to solve a variety of complex problems, and make the machine learn your requirements.
Oscilloscopes are essential tools for checking circuit operation and diagnosing faults, and an enormous range of models are available. But which is the right one for a particular application? Which features are essential and which not so important? Ian Hickman has the answers. This handy guide to o