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practical machine learning foring data python 2021

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Author: Sayan Putatunda Full Title: Practical Machine Learning For Streaming Data With Python: Design, Develop, And Validate Online Learning Models Publisher: Apress; 1st ed. edition (April 9, 2021) Year: 2021 ISBN-13: 9781484268674 (978-1-4842-6867-4), 9781484268667 (978-1-4842-6866-7) ISBN-10: 1484268679, 1484268660 Pages: 118 Language: English Genre: Educational: Machine Learning File type: EPUB (True), PDF (True), Code Files 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. Learn: ✓ Understand machine learning with streaming data concepts ✓ Review incremental and online learning ✓ Develop models for detecting concept drift ✓ Explore techniques for classification, regression, and ensemble learning in streaming data contexts ✓ Apply best practices for debugging and validating machine learning models in streaming data context ✓ Get introduced to other open-source frameworks for handling streaming data. Features: ✓ Explains the latest Scikit-Multiflow framework in detail ✓ Explains Supervised and Unsupervised Learning for streaming data ✓ One of the first books in the market on machine learning models for streaming data using Python Who This Book Is For: Machine learning engineers and data science professionals. -Wolves

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practical machine learning foring data python 2021

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