November 2024
Intermediate to advanced
306 pages
7h 57m
English
Content preview from Apache Spark for Machine Learning
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3
Feature Extraction and Transformation
Feature extractors and transformers are key components in the field of machine learning and data preprocessing. They help to convert raw data into a suitable and more effective format to train machine learning models. Feature extractors simplify data inputs by transforming them into a lower-dimensional space. Conversely, feature transformers involve modifying or transforming the features themselves into a format that’s more suitable for machine learning algorithms.
Understanding these concepts is crucial for building efficient and accurate predictive models.
In this chapter, we’re going to cover the following main topics:
- Learning about feature extractors
- Working with feature transformers
- Exploring
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.