AI Testing Talks – Anomaly Detection Mini-course

Area

Software Testing

Date

Date 20 May - 06 June 2022

Place

Place Online

AI Testing Talks – Anomaly Detection Mini-course

Area

Software Testing

Date

Date 20 May - 06 June 2022

Place

Place
Online
Exactpro events

Anomaly Detection is a mini-course, hosted as part of Exactpro’s AI Testing Talks events series. The mini-course consists of 3 lectures presented by Rostislav Yavorski, Head of Research, Exactpro. Rostislav reviewed the basics of anomaly detection, as well as the application of statistical and Machine Learning (ML) methods in software testing. 

Those interested in taking the course may watch the lectures on demand via the Exactpro YouTube channel by following the links below.

The Anomaly Detection mini-course included the following lectures:

Date Lectures
20 May

Anomaly Detection. Part 1 – Basics
In this lecture, we reviewed the definitions and practical examples of outliers and anomalies in different domains: financial fraud detection, medical diagnosis, fault identification, etc.
30 May

Anomaly Detection. Part 2 – Statistical Methods
In Lecture 2, we discussed the graphical methods: histogram, box plot, and scatter plot, as well as interquartile range, Tukey's fences, and null hypothesis, t-statistic, p-value.
6 June

Anomaly Detection. Part 3 – Machine Learning Methods
The last lecture featured the unsupervised, supervised, and semi-supervised learning methods, placing special emphasis on clustering and dimensionality reduction.