Recommender Systems : The Textbook
Charu C. Aggarwal
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The Data Science Design Manual
Professor Steven S. Skiena
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Outlier Analysis
Charu C. Aggarwal
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Data Mining for Managers : How to Use Data (Big and Small) to Solve Business Challenges
R. Boire
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Machine Learning
Zhi-Hua, PhD Zhou
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An Introduction to Machine Learning
Miroslav Kubat
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Machine Learning : The Basics
Alexander Jung
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Volunteered Geographic Information : Interpretation, Visualization and Social Context
Dirk Burghardt
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Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Frank Emmert-Streib
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Representation Learning for Natural Language Processing
Zhiyuan Liu
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Entity Alignment : Concepts, Recent Advances and Novel Approaches
Xiang Zhao
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Effective CRM using Predictive Analytics
Antonios Chorianopoulos
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Computational Conflict Research
Emanuel Deutschmann
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Process Mining in Action : Principles, Use Cases and Outlook
Lars Reinkemeyer
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Data Science for Economics and Finance : Methodologies and Applications
Sergio Consoli
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Metalearning : Applications to Automated Machine Learning and Data Mining
Pavel Brazdil
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Technologies and Applications for Big Data Value
Edward Curry
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Recurrent Neural Networks : From Simple to Gated Architectures
Fathi M. Salem
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Social Vulnerability to COVID-19 : Impacts of Technology Adoption and Information Behavior
Xiaojun Yuan
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The Beginner's Guide to Data Science
Robert Ball
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