AI Testing Talks – Anomaly Detection

Anomaly Detection is a mini-course starting on 20 May, hosted as part of Exactpro’s AI Testing Talks events series. The mini-course will consist of 3 lectures presented by Rostislav Yavorski, Head of Research, Exactpro. Rostislav will review the basics of anomaly detection, as well as the application of statistical and Machine Learning (ML) methods in software testing. 

Those interested in attending the lectures may join them online via the Exactpro YouTube channel. Please see the full schedule below.

Time: 10:00 GET/11:30 SLST

Register your participation in AI Testing Talks to get access to important resources and receive a reminder on the day of the lecture.

The Anomaly Detection mini-course will include the following lectures:

Date Lectures
20 May

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


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


Anomaly Detection. Part 3 – Machine Learning Methods
The last lecture will feature the unsupervised, supervised, and semi-supervised methods, as well as review dimensionality reduction and clustering.

Register by filling in the form below.*

*If you registered for last week's lecture on "Test Design for AI Systems", you are already registered for this mini-course as part of the AI Testing Talks series. 
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