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Machine Learning Models and Algorithms for Big Data Classification Thinking with Examples for Effective Learning by Shan Suthaharan - Paperback
2,470.00 EGP

Machine Learning Models and Algorithms for Big Data Classification Thinking with Examples for Effective Learning by Shan Suthaharan - Paperback

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2,470.00 EGP 

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Category Type
Machines & Tools
ISBN
9781489976406
Author
Shan Suthaharan
Publisher
Springer-Verlag
Description:

This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable for the system that can handle such problems. This book helps readers, especially students ...

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PRODUCT INFORMATION

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    Specifications

    Category Type
    Machines & Tools
    ISBN
    9781489976406
    Item EAN
    2724444976278
    People
    Author
    Shan Suthaharan
    People
    Publisher
    Springer-Verlag
    Category Type
    Machines & Tools
    ISBN
    9781489976406
    Item EAN
    2724444976278
    People
    Author
    Shan Suthaharan
    People
    Publisher
    Springer-Verlag
    Technical Information
    Binding
    Paperback
    Languages and countries
    Book Language
    English
    Read more
  •  

    Description:

    This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable

    This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable for the system that can handle such problems. This book helps readers, especially students and newcomers to the field of big data and machine learning, to gain a quick understanding of the techniques and technologies; therefore, the theory, examples, and programs (Mat lab and R) presented in this book have been simplified, hardcoded, repeated, or spaced for improvements. They provide vehicles to test and understand the complicated concepts of various topics in the field. It is expected that the readers adopt these programs to experiment with the examples, and then modify or write their own programs toward advancing their knowledge for solving more complex and challenging problems. The presentation format of this book focuses on simplicity, readability, and dependability so that both undergraduate and graduate students as well as new researchers, developers, and practitioners in this field can easily trust and grasp the concepts, and learn them effectively. It has been written to reduce the mathematical complexity and help the vast majority of readers to understand the topics and get interested in the field.

    Product Features:
    • Category Type: Machines & Tools
    • Author: Shan Suthaharan
    • Format: Paperback
    • Book Language: English
    • Book Origin: United Kingdom
    • Publisher: Springer-Verlag
    • Publication Year: 2015
    • ISBN: 9781489976406
    • Series: Integrated Series in Information Systems
    • Number of Pages: 378
    • Product Dimensions: 155 x 235 x 22 mm
    • Product Weight: 730 g
 

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