Practical machine learning for streaming data with python /Sayan Putatunda design, develop, and validate online learning models

By:

Putatunda, Sayan

Contributor(s):

Python Computer program language

Language: English Publication details: Apress, c2021 New York :Description: xvi, 118p. : ill. 23 cmISBN:

9781484285510

Subject(s):

Apprentissage automatique and Machine learning

DDC classification:

005.133P PUT

Summary: Design, develop, and validate machine learning models with streaming data using the Scikit-Multifold framework. This book is a quick start guide for data scientists and machine learning engineers looking to implement machine learning models for streaming data with Python to generate real-time insights. You'll start with an introduction to streaming data, the various challenges associated with it, some of its real-world business applications, and various windowing techniques.

Item type: English Books

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Holdings
Current library	Call number	Status	Date due	Barcode
Anna Centenary Library 3RD FLOOR, A WING	005.133P PUT (Browse shelf(Opens below))	Available		668076
Anna Centenary Library 3RD FLOOR, A WING	005.133P PUT;1 (Browse shelf(Opens below))	Available		668077

Reprint, 2024

Includes index

Design, develop, and validate machine learning models with streaming data using the Scikit-Multifold framework. This book is a quick start guide for data scientists and machine learning engineers looking to implement machine learning models for streaming data with Python to generate real-time insights. You'll start with an introduction to streaming data, the various challenges associated with it, some of its real-world business applications, and various windowing techniques.

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Practical machine learning for streaming data with python /Sayan Putatunda design, develop, and validate online learning models

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