97 Things Every Data Engineer Should Know : Collective Wisdom from the Experts
Tobias Macey
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Corpus Stylistics : A Practical Introduction
Dan McIntyre
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Graph Databases 2e
Ian Robinson
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Managing Data Quality : A practical guide
Tim King
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Dive into Deep Learning
Aston (Amazon Web Services) Zhang
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Remote Sensing and GIS for Ecologists : Using Open Source Software
Martin Wegmann
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Painting by Numbers : Data-Driven Histories of Nineteenth-Century Art
Diana Seave Greenwald
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The Science of Science
Dashun (Northwestern University, Illinois) Wang
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Concurrent Data Processing in Elixir : Fast, Resilient Applications with OTP, GenStage, Flow, and Broadway
Svilen Gospodinov
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Data Strategy : From definition to execution
Ian Wallis
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Humanities Data Analysis : Case Studies with Python
Folgert Karsdorp
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SQL for Data Scientists : A Beginner's Guide for Building Datasets for Analysis
Renee M. P. (HelioCampus) Teate
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Functional Aesthetics for Data Visualization
Vidya Setlur
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Artificial Intelligence for HR : Use AI to Support and Develop a Successful Workforce
Ben Eubanks
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Talent Intelligence : Use Business and People Data to Drive Organizational Performance
Toby Culshaw
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An Introduction to Spatial Data Analysis : Remote Sensing and GIS with Open Source Software
Martin Wegmann
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Data Wrangling with JavaScript
Ashley Davis
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Atlas of the Senseable City
Antoine Picon
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Optimization for Data Analysis
Stephen J. (University of Wisconsin, Madison) Wright
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Advanced Data Analytics Using Python : With Architectural Patterns, Text and Image Classification, and Optimization Techniques
Sayan Mukhopadhyay
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Data in Society : Challenging Statistics in an Age of Globalisation
Jim (University of Durham) Ridgway
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Big Data im Gesundheitswesen kompakt : Konzepte, Losungen, Visionen
Holm Landrock
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Match Analysis : How to Use Data in Professional Sport
Daniel (German Sport University Cologne, Germany) Memmert
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Learn Data Analysis with Python : Lessons in Coding
A.J. Henley
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