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Geospatial Data Science Quick Start Guide

You're reading from   Geospatial Data Science Quick Start Guide Effective techniques for performing smarter geospatial analysis using location intelligence

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789809411
Length 170 pages
Edition 1st Edition
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Authors (2):
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Abdishakur Hassan Abdishakur Hassan
Author Profile Icon Abdishakur Hassan
Abdishakur Hassan
Jayakrishnan Vijayaraghavan Jayakrishnan Vijayaraghavan
Author Profile Icon Jayakrishnan Vijayaraghavan
Jayakrishnan Vijayaraghavan
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Preface

Geospatial Data Science Quick Start Guide is all about providing a segue for data scientists into mapping technologies, and for GIS scientific researchers into data science and machine learning techniques. Geospatial data science is the core technology used at companies including Uber, Google Maps, Apple Maps, Foursquare, and by real estate search apps such as realtor.com. An integral reason for the enormous success of these companies can be traced to their early successes in effectively identifying and leveraging the power of location data in the context of data science. Location data is a pervasive component of data repositories of any company in Silicon Valley, and the actual benefits of this data are yet to tapped due to a lack of expertise in this area. Geospatial Data Science Quick Start Guide will try to bridge this gap by equipping the reader with important skills for handling location data and effectively synergizing location data with machine learning techniques.

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