Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions (Paperback) (ISBN-13: 9781009318259)

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, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments.

Author: Isaac Triguero, Mikel Galar
ISBN-10: 100931825X
ISBN-13: 9781009318259
Publisher: Cambridge University Press
Language: English
Published: 11/23/2023
Pages: 422
Format: Paperback
Weight: 1.70lbs
Size: 9.53h x 6.69w x 0.94d