Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve deep-learning problems for classifying and generating text, images, and music.
Each chapter consists of several recipes needed to complete a single project, such as training a music recommending system. Author Douwe Osinga also provides a chapter with half a dozen techniques to help you if you’re stuck. Examples are written in Python with code available on GitHub as a set of Python notebooks.
You’ll learn how to:
Country | USA |
Author | Douwe Osinga |
Binding | Kindle Edition |
Edition | 1 |
EISBN | 9781491995808 |
Format | Kindle eBook |
Label | O'Reilly Media |
Manufacturer | O'Reilly Media |
NumberOfPages | 252 |
PublicationDate | 2018-06-05 |
Publisher | O'Reilly Media |
ReleaseDate | 2018-06-05 |
Studio | O'Reilly Media |