June 2017
Beginner to intermediate
432 pages
12h 25m
English
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Chapter 26
Introduction to Machine Learning∗
Abstract
Most complex machines or software utilize algorithms, which is a methodology defined to solve a specific problem. In some cases, the algorithm has an adaptive capability, allowing the algorithm to adapt for varying conditions. In contrast, machine learning does not have specific algorithm. Rather, it has a basic structure, to process data and produce outputs. The structure typically contains thousands or millions of weights, or coefficients. These weights are determined by passing data, lots of data, through the structure and updating the weights during a feedback process where the results are usually known in advance, to produce the desired output. This weight updating is called training, and ...
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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.