![Visual Analytics for Data Scientists]( "Visual Analytics for Data Scientists")
Textbook
Andrienko, N., Andrienko, G., Fuchs, G., Slingsby, A., Turkay, C., Wrobel, S. (2020)
This textbook presents the main principles of visual analytics and describes techniques and approaches that have proven their utility and can be readily reproduced. Special …
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![Data Science Concepts and Techniques with Applications]( "Data Science Concepts and Techniques with Applications")
Textbook
Qamar, U., Raza, M. S. (2020)
This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other …
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![Broad Learning Through Fusions]( "Broad Learning Through Fusions")
Textbook
Zhang, J., Yu, P. S. (2019)
This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at …
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![Machine Learning for Text]( "Machine Learning for Text")
Textbook
Aggarwal, C. C. (2018)
Text analytics is a field that lies on the interface of information retrieval,machine learning, and natural language processing, and this textbook carefully covers a coherently …
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![An Introduction to Machine Learning]( "An Introduction to Machine Learning")
Textbook
Kubat, M. (2017)
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging …
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![Intelligent Techniques for Data Science]( "Intelligent Techniques for Data Science")
Textbook
Akerkar, R., Sajja, P. S. (2016)
This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, …
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![Computer Vision Metrics]( "Computer Vision Metrics")
Textbook
Krig, S. (2016)
Based on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer …
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![Recommender Systems]( "Recommender Systems")
Textbook
Aggarwal, C. C. (2016)
This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or …
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![Foundations of Rule Learning]( "Foundations of Rule Learning")
Textbook
Fürnkranz, J., Gamberger, D., Lavrač, N. (2012)
Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining, as they offer the best tradeoff between …
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eBook
![The Elements of Statistical Learning]( "The Elements of Statistical Learning")
Textbook
Hastie, T., Tibshirani, R., Friedman, J. (2009)
This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is …
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![Metalearning]( "Metalearning")
Textbook
Brazdil, P., Giraud Carrier, C., Soares, C., Vilalta, R. (2009)
Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While …
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![Fundamentals of the New Artificial Intelligence]( "Fundamentals of the New Artificial Intelligence")
Textbook
Munakata, T. (2008)
The book covers the most essential and widely employed material in each area, particularly the material important for real-world applications. Our goal is not to cover every …
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![Algorithmic Intelligence]( "Algorithmic Intelligence")
Textbook
Edelkamp, S. (2021)
In this book the author argues that the basis of what we consider computer intelligence has algorithmic roots, and he presents this with a holistic view, showing examples and …
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