October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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Linear and Logistic Regression
After the insights we gained by grouping similar information using common features, it's time to get a bit more mathematical and start to search for a way to describe the data by using a distinct function that will condense a large amount of information, and will allow us to predict future outcomes, assuming that the data samples maintain their previous properties.
In this chapter, we will cover the following topics:
- Linear regression with a step-by-step implementation
- Polynomial regression
- Logistic regression and its implementation
- Softmax regression
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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.