Anomaly Detection in the Cloud - How to Detect Issues in Data and Images Without Any ML Experience
Offered By: Devoxx via YouTube
Course Description
Overview
Explore anomaly detection techniques in the cloud for identifying defects and outliers in images and business datasets without requiring machine learning expertise. Learn the importance of swift anomaly identification using managed AWS services like Amazon Lookout for Vision and Lookout for Metrics. Discover practical applications of anomaly detection, understand different types of anomalies, and gain insights into APIs and services. Dive into vision-based anomaly detection, examine data sets, and learn how to create detectors using pre-trained models. This 38-minute Devoxx conference talk provides development teams with valuable knowledge to implement smart functionalities in their projects.
Syllabus
Introduction
What is anomaly detection
What is anomaly detection in practice
What kind of anomalies do we meet
What are APIs
What are services
Vision
Data set
What is anomaly
Examples
The data set
Creating a detector
Mapping
Pretrained model
Outro
Taught by
Devoxx
Related Courses
Progressive Delivery in the Kubernetes EraDevoxx via YouTube Data-Oriented Programming in Java
Devoxx via YouTube Why and How to Upgrade to Java 17 - and Prepare for 21
Devoxx via YouTube The SolutionFactory to Java's Problems
Devoxx via YouTube Stranger Danger - Your Java Attack Surface Just Got Bigger
Devoxx via YouTube