September 2016
Beginner to intermediate
264 pages
9h 26m
English
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Chapter 7. Advanced feature engineering
This chapter covers
- Using advanced feature-engineering concepts to increase the accuracy of your machine-learning system
- Extracting valuable features from text by using natural-language-processing techniques
- Extracting meaning from images and using them as features in your machine-learning project
You explored the basic concepts behind feature engineering in chapter 5 and applied simple feature-engineering techniques to real-world data in chapter 6. In this chapter, you’ll look at more-sophisticated techniques that you can use when faced with types of data that have become common in today’s world. The two most important of these are text and images. This chapter presents advanced techniques for extracting ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.