December 2018
Intermediate to advanced
274 pages
7h 46m
English
Content preview from Machine Learning for Mobile
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Decision tree
To understand the random forest model, we must first learn about the decision tree, the basic building block of a random forest. We all use decision trees in our daily lives, even if you don't know it by that name. You will be able to relate to the concepts of a decision tree once we start going through the example.
Imagine you approach a bank for a loan. The bank will scan you for a series of eligibility criteria before they approve the loan. For each individual, the loan amount they offer will vary, based on the different eligibility criteria they satisfy.
They may go ahead with various decision points to make the final decision to arrive at the possibility of granting a loan and the amount that can be given, such as the ...
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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.
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.