Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions, (Paperback)
This hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data.
Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions, (Paperback)
商品#: 90224806

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

商品#: 90224806

TWD 1984

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This hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data.
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What Stands Out

Comprehensive Learning
Covers both Python and Spark, offering a deep understanding of data analytics and machine learning techniques, making it ideal for beginners and experienced data professionals.
Hands-On Approach
Includes practical examples and real-world projects, enabling readers to apply concepts immediately and solidify their learning through practice.
Focused on Scale
Specifically designed for large-scale data analysis, empowering users to tackle big data challenges efficiently, setting it apart from traditional analytics guides.

產品詳情

Shop Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions, (Paperback) online at a best price in Taiwan. 3894724747
  • 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.
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateFebruary, 2024
Pages422
Reading levelGeneral
SubgenreDatabase Administration & Management
Series titleNo Series
Edition1
PublisherCambridge University Press
Original languagesEnglish
LanguageEnglish
Edu focusTechnology
Educational levelCollege
Is collectibleN
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)6.69 x 0.94 x 9.53 in (17 x 2.4 x 24.2 cm)
Assembled product weight1.7 lb (770 grams)
Bisac subject headingComputers

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists aiming to enhance their skills in machine learning using Python and Spark frameworks.

  • Machine Learning Enthusiasts

    Perfect for learners eager to understand machine learning applications through practical examples and hands-on projects.

  • Big Data Engineers

    Beneficial for engineers seeking to implement scalable data analytics solutions effectively using modern technologies.

Not Suitable For
  • Total Beginners

    Not suitable for individuals with no prior coding or data analysis knowledge as it requires some foundational skills.

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Isaac Triguero All Books Editorial Review

Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions is a comprehensive resource for those keen on mastering data analytics techniques. This non-fiction paperback, published by Cambridge University Press, spans 422 pages and is aimed at a general reading level, making it accessible for college students and professionals alike. It delves into essential topics within the scope of database administration and management, presenting delightful insights into implementing machine learning solutions using modern tools like Python and Spark, which readers often find engaging and informative. It is designed to equip readers with practical skills in technology, perfect for those in the computing and internet domain.

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優點

  • Hands-on guide for practical learning
  • Covers machine learning implementations
  • Well-structured for educational purposes
  • Informative for database administration
  • Suitable for college-level readers

缺點

  • No collectible value noted

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