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Large-Scale Data Analytics with Python and Spark: A Hands-on Guide to Implementing Machine Learning Solutions - Softcover
- PublisherCambridge University Press
- Publication date2023
- ISBN 10 100931825X
- ISBN 13 9781009318259
- BindingPaperback
- LanguageEnglish
- Number of pages394
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Large-Scale Data Analytics with Python and Spark
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Cambridge University Press, 2024
ISBN 10: 100931825X
ISBN 13: 9781009318259
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Large-Scale Data Analytics with Python and Spark
Published by
Cambridge University Press, 2024
ISBN 10: 100931825X
ISBN 13: 9781009318259
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paperback
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Large-Scale Data Analytics with Python and Spark
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Cambridge University Press, 2024
ISBN 10: 100931825X
ISBN 13: 9781009318259
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LARGESCALE DATA ANALYTICS WITH PYTHON A
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Cambridge University Press, 2024
ISBN 10: 100931825X
ISBN 13: 9781009318259
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Large-scale Data Analytics With Python and Spark : A Hands-on Guide to Implementing Machine Learning Solutions
Published by
Cambridge University Press, 2024
ISBN 10: 100931825X
ISBN 13: 9781009318259
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Large-Scale Data Analytics with Python and Spark
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Large-Scale Data Analytics with Python and Spark: A Hands-on Guide to Implementing Machine Learning Solutions
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Cambridge University Press, 2024
ISBN 10: 100931825X
ISBN 13: 9781009318259
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Large-Scale Data Analytics with Python and Spark
Published by
Cambridge University Press, 2024
ISBN 10: 100931825X
ISBN 13: 9781009318259
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Large-scale Data Analytics With Python and Spark : A Hands-on Guide to Implementing Machine Learning Solutions
Published by
Cambridge University Press, 2024
ISBN 10: 100931825X
ISBN 13: 9781009318259
Used
Softcover
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Large-Scale Data Analytics with Python and Spark (Paperback)
Published by
Cambridge University Press, Cambridge, 2023
ISBN 10: 100931825X
ISBN 13: 9781009318259
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Paperback
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Paperback. Condition: new. Paperback. 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. A hands-on textbook teaching how to carry out large-scale data analytics and implement machine learning solutions for big data. Including copious real-world examples, it offers a coherent teaching package with lab assignments, exercises, solutions for instructors, and lecture slides. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781009318259
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