Mining of Massive Datasets
Jure (Stanford University, California) Leskovec
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R for Everyone : Advanced Analytics and Graphics
Jared P. Lander
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R for Everyone : Advanced Analytics and Graphics
Jared P. Lander
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Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control
Steven L. Brunton
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Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques : A Guide to Data Science for Fraud Detection
Bart Baesens
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Practical Google Analytics and Google Tag Manager for Developers
Jonathan Weber
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Thoughtful Machine Learning with Python : A Test-Driven Approach
Matthew Kirk
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The Chief Data Officer's Playbook
Caroline Carruthers
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Process Mining in Action : Principles, Use Cases and Outlook
Lars Reinkemeyer
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The Data Science Design Manual
Steven S. Skiena
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Data Mining with Rattle and R : The Art of Excavating Data for Knowledge Discovery
Graham Williams
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eXist : A NoSQL Document Database and Application Platform
Erik Siegel
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Communicating Data with Tableau : Designing, Developing, and Delivering Data Visualizations
Ben Jones
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Speed, Data, and Ecosystems : Excelling in a Software-Driven World
Jan (Chalmers University of Technology, Gothenburg, Sweden) Bosch
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Modern Analytics Methodologies : Driving Business Value with Analytics
Michele Chambers
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Practical Data Science with Hadoop and Spark : Designing and Building Effective Analytics at Scale
Ofer Mendelevitch
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Measuring the Digital World : Using Digital Analytics to Drive Better Digital Experiences
Gary Angel
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Big Data Fundamentals : Concepts, Drivers & Techniques
Thomas Erl
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Apache Spark in 24 Hours, Sams Teach Yourself
Jeffrey Aven
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Data Science Foundations Tools and Techniques
Michael Freeman
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Product Analytics : Applied Data Science Techniques for Actionable Consumer Insights
Joanne Rodrigues
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Learning Deep Learning : Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
Magnus Ekman
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Agile Analytics : A Value-Driven Approach to Business Intelligence and Data Warehousing
Ken W. Collier
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