September 2016
Beginner to intermediate
346 pages
6h 35m
English
Content preview from Julia for Data ScienceBecome 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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Understanding decision trees
A decision tree is a very good example of "divide and conquer". It is one of the most practical and widely used methods for inductive inference. It is a supervised learning method that can be used for both classification and regression. It is non-parametric and its aim is to learn by inferring simple decision rules from the data and create such a model that can predict the value of the target variable.
Before taking a decision, we analyze the probability of the pros and cons by weighing the different options that we have. Let's say we want to purchase a phone and we have multiple choices in the price segment. Each of the phones has something really good, and maybe better than the other. To make a choice, we start by ...
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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.