May 2020
Intermediate to advanced
530 pages
17h 8m
English
Content preview from Hands-On Machine Learning with C++
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Factor analysis
Factor analysis is used to reduce the number of variables that are used to describe data and determine the relationships between them. During the analysis, variables that correlate with each other are combined into one factor. As a result, the dispersion between components is redistributed, and the structure of factors becomes more understandable. After combining the variables, the correlation of components within each factor becomes higher than their correlation with components from other factors. It is assumed that known variables depend on a smaller number of unknown variables and that we have a random error that can be expressed as follows:
Here, is the load and is the factor.
The concept of factor load is essential. ...
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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.