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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning

Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning

Suthaharan, Shan

Hardcover

Series: Integrated Information Systems, Book 36

Business GeneralDatabasesSystem Administration

ISBN10: 148997640X
ISBN13: 9781489976406
Publisher: Springer Nature
Published: Oct 21 2015
Pages: 359
Weight: 1.56
Height: 0.88 Width: 6.14 Depth: 9.21
Language: English

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 (Matlab 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.

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