November 2018
Beginner to intermediate
568 pages
15h 59m
English
Content preview from Data Science, 2nd Edition
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Chapter 1
Introduction
Abstract
Data science has been growing in popularity over the past few years. In the introduction, the terms “data science” and its taxonomy are defined. This chapter covers the relationship between artificial intelligence, machine learning, and data science, provides the motivation for data science, an introduction to key algorithms, and presents a roadmap for rest of the book.
Keywords
Data science; descriptive analytics; taxonomy; classification; regression; association; clustering; anomaly; RapidMiner; roadmap
Data science is a collection of techniques used to extract value from data. It has become an essential tool for any organization that collects, stores, and processes data as part of its operations. Data science techniques ...
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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.