Artificial Intelligence Basics : A Non-Technical Introduction
Tom Taulli
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Learn Blockchain by Building One : A Concise Path to Understanding Cryptocurrencies
Daniel van Flymen
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Deep Learning : A Practitioner's Approach
Josh Patterson
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Mining the Social Web : Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
Matthew A. Russell
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Introduction to Machine Learning with R : Rigorous Mathematical Analysis
Scott V. Burger
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Database Internals : A Deep Dive into How Distributed Data Systems Work
Alex Petrov
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97 Things Every Data Engineer Should Know
Tobias Macey
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Between the Spreadsheets : Classifying and Fixing Dirty Data
Susan Walsh
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Big Data im Gesundheitswesen kompakt : Konzepte, Losungen, Visionen
Holm Landrock
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Outside Insight : Navigating a World Drowning in Data
Jorn Lyseggen
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Pandas for Everyone : Python Data Analysis
Daniel Y. Chen
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Foundational Python for Data Science
Kennedy Behrman
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Mathematical Underpinnings of Analytics : Theory and Applications
Peter Grindrod
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Applied Predictive Analytics : Principles and Techniques for the Professional Data Analyst
Dean Abbott
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Machine Learning for Time Series Forecasting with Python
Francesca Lazzeri
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Privacy, Big Data, and the Public Good : Frameworks for Engagement
Julia Lane
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Introduction to Description Logic
Franz Baader
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Data Source Handbook : A Guide to Public Data
Pete Warden
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Scaling MongoDB : Sharding, Cluster Setup, and Administration
Kristina Chodorow
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