Machine Learning for Streaming Data with Python

person icon Packt Publishing

Machine Learning for Streaming Data with Python

Machine Learning for Streaming Data with Python

person icon Joos Korstanje

ebook icon Packt Publishing

language icon Language - English

updated on icon Updated on Jan, 2023

architecture icon Machine Learning,Python,IT & Software


This eBook includes

Formats : PDF (Read Only)

Pages : 258

ISBN : 9781803242637

Language : English

About the Book

Book description

Apply machine learning to streaming data with the help of practical examples, and deal with challenges that surround streaming

Key Features

  • Work on streaming use cases that are not taught in most data science courses
  • Gain experience with state-of-the-art tools for streaming data
  • Mitigate various challenges while handling streaming data

Book Description

Streaming data is the new top technology to watch out for in the field of data science and machine learning. As business needs become more demanding, many use cases require real-time analysis as well as real-time machine learning. This book will help you to get up to speed with data analytics for streaming data and focus strongly on adapting machine learning and other analytics to the case of streaming data.

You will first learn about the architecture for streaming and real-time machine learning. Next, you will look at the state-of-the-art frameworks for streaming data like River. Later chapters will focus on various industrial use cases for streaming data like Online Anomaly Detection and others. As you progress, you will discover various challenges and learn how to mitigate them. In addition to this, you will learn best practices that will help you use streaming data to generate real-time insights.

By the end of this book, you will have gained the confidence you need to stream data in your machine learning models.

What you will learn

  • Understand the challenges and advantages of working with streaming data
  • Develop real-time insights from streaming data
  • Understand the implementation of streaming data with various use cases to boost your knowledge
  • Develop a PCA alternative that can work on real-time data
  • Explore best practices for handling streaming data that you absolutely need to remember
  • Develop an API for real-time machine learning inference

Who this book is for

This book is for data scientists and machine learning engineers who have a background in machine learning, are practice and technology-oriented, and want to learn how to apply machine learning to streaming data through practical examples with modern technologies. Although an understanding of basic Python and machine learning concepts is a must, no prior knowledge of streaming is required.

Machine Learning for Streaming Data with Python

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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