August 2017
Beginner to intermediate
382 pages
8h 44m
English
Content preview from MATLAB for Machine Learning
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Summary
In this chapter, we explored the amazing world of machine learning and took a tour of the most popular machine learning algorithms to choose the right one for our needs. To understand what is most suitable for our needs, we learned to perform a preliminary analysis. Then we analyzed how to build machine learning models step by step.
Afterwards, we discovered the machine learning capabilities in MATLAB for classification, regression, clustering, and deep learning, including apps for automated model training and code generation. We verified the MATLAB system requirements and platform availability for a correct installation.
Finally, we introduced the Statistics and Machine Learning Toolbox and Neural Network Toolbox. We learned what ...
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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.