Name: Practical Machine Learning for Streaming Data With Python: Design, Develop, and Validate Online Learning Models
Price: 35.66 EUR
Availability: InStock
Author: Putatunda, Sayan
ISBN: 9781484268667

portada Practical Machine Learning for Streaming Data With Python: Design, Develop, and Validate Online Learning Models

Practical Machine Learning for Streaming Data With Python: Design, Develop, and Validate Online Learning Models

Type

Physical Book

Author

Sayan Putatunda

Publisher

Apress

Year

2021

Language

English

Pages

118

Format

Paperback

Dimensions

23.4 x 15.6 x 0.7 cm

Weight

0.20 kg.

ISBN13

9781484268667

Edition No.

Synopsis "Practical Machine Learning for Streaming Data With Python: Design, Develop, and Validate Online Learning Models "

Design, develop, and validate machine learning models with streaming data using the Scikit-Multiflow 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. You'll then examine incremental and online learning algorithms, and the concept of model evaluation with streaming data and get introduced to the Scikit-Multiflow framework in Python. This is followed by a review of the various change detection/concept drift detection algorithms and the implementation of various datasets using Scikit-Multiflow.Introduction to the various supervised and unsupervised algorithms for streaming data, and their implementation on various datasets using Python are also covered. The book concludes by briefly covering other open-source tools available for streaming data such as Spark, MOA (Massive Online Analysis), Kafka, and more.What You'll LearnUnderstand machine learning with streaming data conceptsReview incremental and online learningDevelop models for detecting concept driftExplore techniques for classification, regression, and ensemble learning in streaming data contextsApply best practices for debugging and validating machine learning models in streaming data contextGet introduced to other open-source frameworks for handling streaming data.Who This Book Is ForMachine learning engineers and data science professionals

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Practical Machine Learning for Streaming Data With Python: Design, Develop, and Validate Online Learning Models - Putatunda, Sayan

Synopsis "Practical Machine Learning for Streaming Data With Python: Design, Develop, and Validate Online Learning Models "

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