September 2016
Beginner to intermediate
264 pages
9h 26m
English
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Table of Contents
1. The machine-learning workflow
Chapter 1. What is machine learning?
1.1. Understanding how machines learn
1.2. Using data to make decisions
1.2.2. The machine-learning approach
1.3. Following the ML workflow: from data to deployment
1.3.1. Data collection and preparation
1.3.2. Learning a model from data
1.4. Boosting model performance with advanced techniques
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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.