June 2018
Intermediate to advanced
378 pages
8h 43m
English
Content preview from Machine Learning with Core ML
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A typical workflow
As with any project, you enter the process with some understanding of what you are trying to build. The better you understand this (the problem), the better you are able to solve it.
After understanding what it is that you're trying to do, your next question (in the context of building a machine learning model) is what data do I need? This includes an exploration into what data is available and what data you may need to generate yourself.
Once you've understood what you're trying to do and what data you need, your next question/task is to decide on what algorithm (or model) is needed. This is obviously dependent on your task and the data you have; in some instances, you may be required to create your own model, but more ...
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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.