Machine Learning for Streaming Data with Python

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.

Type
ebook
Category
Data
publication date
2022-07-15
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

no of pages
258
duration
516
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
approach
This book provides an overview of the state-of-the-art techniques regarding machine learning on streaming data with practical examples and environment setups that can be copied easily by readers.
audience
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.
meta description
Apply machine learning to streaming data with the help of practical examples, and deal with challenges that surround streaming
short description
This book will help you to design, develop and implement machine learning models for streaming data to generate real-time insights. You’ll also be able to explore the challenges associated with streaming data and its best practices.
subtitle
Rapidly build practical online machine learning solutions using River and other top key frameworks
keywords
Streaming data, River, Online Machine learning
Product ISBN
9781803248363