Download the fantastic book titled Practical Machine Learning for Streaming Data with Python written by Sayan Putatunda, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Practical Machine Learning for Streaming Data with Python", which was released on 09 April 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Practical Machine Learning for Streaming Data with Python by Sayan Putatunda PDF
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 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. Who This Book Is For Machine learning engineers and data science professionals
Detail About Practical Machine Learning for Streaming Data with Python PDF
- Author : Sayan Putatunda
- Publisher : Apress
- Genre : Computers
- Total Pages : 118 pages
- ISBN : 9781484268667
- Release Date : 09 April 2021
- PDF File Size : 13,5 Mb
- Language : English
- Rating : 5/5 from 1 reviews
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