Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Artificial Intelligence for IoT Cookbook

You're reading from   Artificial Intelligence for IoT Cookbook Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities

Arrow left icon
Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781838981983
Length 260 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Michael Roshak Michael Roshak
Author Profile Icon Michael Roshak
Michael Roshak
Arrow right icon
View More author details
Toc

Table of Contents (11) Chapters Close

Preface 1. Setting Up the IoT and AI Environment 2. Handling Data FREE CHAPTER 3. Machine Learning for IoT 4. Deep Learning for Predictive Maintenance 5. Anomaly Detection 6. Computer Vision 7. NLP and Bots for Self-Ordering Kiosks 8. Optimizing with Microcontrollers and Pipelines 9. Deploying to the Edge 10. About Packt

Windowing

There are three primary windowing functions: tumbling, hopping, and sliding. Both Spark and Stream Analytics can do windowing. Windowing allows you to look at aggregate functions such as average, count, and sum. It also allows you to look at minimum and maximum values. Windowing is a feature engineering technique to help make data more manageable. In this recipe, we are going to cover several tools for windowing and the ways to window.

You have been reading a chapter from
Artificial Intelligence for IoT Cookbook
Published in: Mar 2021
Publisher: Packt
ISBN-13: 9781838981983
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at ₹800/month. Cancel anytime