Data Science for Business
Foster Provost
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Add to BasketFusion Strategy : How Real-Time Data and AI Will Power the Industrial Future
Vijay Govindarajan
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Cloudmoney : Why the War on Cash Endangers Our Freedom
Brett Scott
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Add to BasketHalo Data : Understanding and Leveraging the Value of your Data
Caroline Carruthers
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Demand Forecasting Best Practices
Nicolas Vandeput
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Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure : A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure
Kristen Kehrer
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Visual Analytics Fundamentals : Creating Compelling Data Narratives with Tableau
Lindy Ryan
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Embedding Knowledge Graphs with RDF2vec
Heiko Paulheim
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Reinforcement Learning : Aktuelle Ansatze verstehen – mit Beispielen in Java und Greenfoot
Uwe Lorenz
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Data Management : Der Weg zum datengetriebenen Unternehmen
Klaus-Dieter Gronwald
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Expected Goals : The Story of How Data Conquered Football and Changed the Game Forever
Rory Smith
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Data Analysis Using SQL and Excel
Gordon S. Linoff
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Add to BasketBig Data: A Very Short Introduction
Dawn E. (Faculty Member, Department of Statistics and Applied Holmes
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Beautiful Visualization : Looking At Data Through The Eyes Of Experts
Julia Steele
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Add to BasketData Visualization : A Practical Introduction
Kieran Healy
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Add to BasketText as Data : A New Framework for Machine Learning and the Social Sciences
Justin Grimmer
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Add to BasketTrustworthy Online Controlled Experiments : A Practical Guide to A/B Testing
Ron Kohavi
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The Chief Data Officer's Playbook
Caroline Carruthers
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Doing Data Science
Cathy O'Neill
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Add to BasketIntroduction to Machine Learning with R : Rigorous Mathematical Analysis
Burger Scott
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Add to BasketMining the Social Web : Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
Matthew A. Russell
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Add to BasketDark Data : Why What You Don’t Know Matters
David J. Hand
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97 Things Every Data Engineer Should Know : Collective Wisdom from the Experts
Tobias Macey
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Add to BasketGraph Databases 2e
Ian Robinson
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