December 2018
Intermediate to advanced
274 pages
7h 46m
English
Content preview from Machine Learning for Mobile
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Summary
In this chapter, we covered the following topics:
- Linear regression: Understanding the algorithm and implementing it for the Boston housing dataset using an Excel sheet.
- Core ML: We went through the high-level details of Core ML and the various features it offers.
- A sample application implemented for linear regression using Core ML: We took the Boston housing dataset and implemented the linear regression model using Core ML for an iOS mobile application and viewed the results in a mobile application.
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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.