November 2019
Intermediate to advanced
296 pages
7h 52m
English
Content preview from Hands-On Machine Learning with TensorFlow.js
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Implementing a logistic regression model with machinelearn.js
Software engineers don't always write applications from scratch. Often, we use an existing library or service if it meets our requirements as this saves on development time and allows us to focus on our application. This is often the case when developing machine learning applications.
machinelearn.js is a library that contains multiple implementations of popular machine learning algorithms. The library should be able to work like a Swiss Army knife in any machine learning implementation. First, you need to find an algorithm that you are comfortable using. Please add it to your dependencies in package.json:
{ "name": "your-project", "version": "1.0.0", "description": "", "main": ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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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.