December 2018
Beginner to intermediate
490 pages
10h 38m
English
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Chapter 9. Analytics Study: Graph Algorithms - US Domestic Flight Data Analysis
"It is a capital mistake to theorize before one has data."
– Sherlock Holmes
In this chapter, we focus on a fundamental computer science data model called graphs and the different types of algorithm commonly used on them. As a data scientist or developer, it is very important to be familiar with graphs and quickly recognize when they provide the right solution to solve a particular data problem. For example, graphs are very well suited to GPS-based applications such as Google Maps, to find the best route from point A to point B, taking into account all kinds of parameters, including whether the user is driving, walking or taking public transport, or whether the user ...
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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.