Data Game : The Story of Liverpool FC's Analytics Revolution
Josh Williams
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R for Data Analysis in easy steps
Mike McGrath
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Learning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python
Sam Lau
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A Practical Introduction to Regression Discontinuity Designs : Extensions
Matias D. (Princeton University) Cattaneo
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Data Fusion Techniques and Applications for Smart Healthcare
Amit Kumar (Associate Professor, Department of Computer Science Singh
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Smart Spaces
Zhihan (Senior Lecturer/Associate Professor at Department of Game Lyu
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Object-Oriented Analysis and Design for Information Systems : Modeling with BPMN, OCL, IFML, and Python
Raul Sidnei (Full Professor, Universidade Federal de Santa Wazlawick
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Mapping Across Boundaries : GIS for Geospatial Collaboration
Jill Saligoe-Simmel
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Optimizing DAX : Improving DAX performance in Microsoft Power BI and Analysis Services
Alberto Ferrari
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Artificial Intelligence and Computing Logic : Cognitive Technology for AI Business Analytics
Cyrus F. Nourani
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Applied Machine Learning and Data Analytics : 6th International Conference, AMLDA 2023, Lubeck, Germany, November 9–10, 2023, Revised Selected Papers
M. A. Jabbar
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Big Data Analytics in Astronomy, Science, and Engineering : 11th International Conference on Big Data Analytics, BDA 2023, Aizu, Japan, December 5–7, 2023, Proceedings
Shelly Sachdeva
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Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning : BIM 2023
Mohammad Shamsul Arefin
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Think Stats 2e
Allen Downey
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Mindf*ck : Inside Cambridge Analytica’s Plot to Break the World
Christopher Wylie
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Demographic Methods and Concepts
Donald T. (, Reader in Population Studies, The Australian Nat Rowland
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Queer Data : Using Gender, Sex and Sexuality Data for Action
Kevin Guyan
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GDPR For Dummies
Suzanne Dibble
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Confident Data Skills : How to Work with Data and Futureproof Your Career
Kirill Eremenko
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Power of People, The : Learn How Successful Organizations Use Workforce Analytics To Improve Business Performance
Nigel Guenole
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Machine Learning Pocket Reference : Working with Structured Data in Python
Matt Harrison
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Pytorch Pocket Reference : Building and Deploying Deep Learning Models
Joe Papa
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Data Analyst : Careers in data analysis
Harish Gulati
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