Machine Learning for Streaming Data with Python
Rapidly build practical online machine learning solutions using River and other top key frameworks
| Price | $44.99 - $63.27
|
| Rating |  |
| Author | Joos Korstanje |
| Publisher | Packt Publishing |
| Published | 2022 |
| Pages | 258 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 180324836X |
| ISBN-13 | 9781803248363 |
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.
- Joos Korstanje (2 books)
Similar Books
Machine Learning with R, 2nd Edition 
by Brett Lantz
Updated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms an...
Price: $39.99 | Publisher: Packt Publishing | Release: 2015
Machine Learning for Algorithmic Trading, 2nd Edition
by Stefan Jansen
The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This thoroughly revised and expanded 2nd edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models.This edition introduces end-to-end machine learning for...
Price: $39.99 | Publisher: Packt Publishing | Release: 2020
Practical Machine Learning for Computer Vision
by Valliappa Lakshmanan, Martin Görner, Ryan Gillard
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a gr...
Price: $59.54 | Publisher: O'Reilly Media | Release: 2021
by Arun Manivannan
This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits.Starting with introductory recipes on ...
Price: $35.99 | Publisher: Packt Publishing | Release: 2015
Applied Text Analysis with Python
by Benjamin Bengfort, Tony Ojeda, Rebecca Bilbro
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language...
Price: $40.44 | Publisher: O'Reilly Media | Release: 2018
Mastering Azure Machine Learning
by Christoph Korner, Kaijisse Waaijer
The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud.The book starts w...
Price: $44.75 | Publisher: Packt Publishing | Release: 2020
Mastering Large Datasets with Python
by John T. Wolohan
Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally influenced approach to Python coding. You'll explore methods and built-in Python tools that lend themselves to clarity an...
Price: $39.99 | Publisher: Manning | Release: 2020
Hands-On Automated Machine Learning
by Sibanjan Das, Umit Mert Cakmak
AutoML is designed to automate parts of Machine Learning. Readily available AutoML tools are making data science practitioners' work easy and are received well in the advanced analytics community. Automated Machine Learning covers the necessary foundation needed to create automated machine learning modules and helps you get up to spe...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018