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Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know,…
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Authors
Isaac Triguero,University of Nottingham
Isaac Triguero is Distinguished Senior Researcher at the Department of Computer Science and Artificial Intelligence, University of Granada, and Associate Professor of Data Science at the School of Computer Science of the University of Nottingham. He won the 2019 School of Computer Science – University of Nottingham Award for Teaching.
Mikel Galar,Public University of Navarre
Mikel Galar is Associate Professor of Computer Science and Artificial Intelligence at the Department of Statistics, Computer Science and Mathematics, Public University of Navarre. He is a co-founder of Neuraptic AI and won the 2020 Excellence in Teaching Award of the Public University of Navarre.