Complete Course and Compendium of Features
4.7 out of 5
Language | : | English |
File size | : | 54086 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 518 pages |
This book is the most comprehensive guide to features available. It covers everything from feature engineering to feature selection, and everything in between.
Whether you're a beginner or an experienced machine learning practitioner, this book will help you to understand and use features effectively. It will teach you how to:
- Identify and extract features from data
- Transform and combine features to create new ones
- Select the most important features for your machine learning model
- Use features to improve the performance of your machine learning models
This book is packed with examples and exercises to help you learn the concepts and techniques of feature engineering and feature selection. It also includes a comprehensive compendium of features, which you can use as a reference when working with your own data.
If you're serious about using machine learning to solve real-world problems, then you need this book.
Table of Contents
- to Features
- Feature Engineering
- Feature Selection
- Compendium of Features
About the Author
Jane Doe is a machine learning expert with over 10 years of experience. She has worked on a variety of machine learning projects, including fraud detection, customer churn prediction, and medical diagnosis. She is the author of several books and articles on machine learning, and she is a frequent speaker at conferences and workshops.
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4.7 out of 5
Language | : | English |
File size | : | 54086 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 518 pages |
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4.7 out of 5
Language | : | English |
File size | : | 54086 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 518 pages |