May 2019
Beginner
170 pages
4h 9m
English
Content preview from Geospatial Data Science Quick Start Guide
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What this book covers
Chapter 1, Introducing to Location Intelligence, introduces the reader to location data and location data intelligence. It provides real-world examples of location data intelligence. This serves as a basic introduction, and has one section of code working on real-world examples of location data intelligence.
Chapter 2, Consuming Location Data Like a Data Scientist, covers machine learning models for predicting the trip time of taxi journeys based on location factors and other attributes. In this chapter, we will discuss how to leverage spatial data masquerading as tabular data, and apply machine learning techniques to it as any data scientist would.
Chapter 3, Performing Spatial Operations Like a Pro, lays the groundwork ...
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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.