Name: Video recording for How to detect silent failures in ML models - Codementor Events
Uploaded: 2022-05-09
Description: In this talk, we'll learn about the types of silent failures, and how to detect and address them.

## About the talk
Artificial intelligence algorithms deteriorate and fail silently over time, impacting the business’ bottom line. The talk is focused on **learning how you should be monitoring machine learning in production**. It is a conceptual and informative talk addressed to **Data Scientists & Machine Learning Engineers**. We'll learn about the types of silent failures, and how to detect and address them.

### This talk will cover
- Build an understanding of why and how to monitor machine learning in production.
- Understand the taxonomy of failures based on use cases, data, characteristics of systems they interact with, and human involvement.
- Learn the statistical and algorithmic tools used to deal with failures, as well as their applications and limits.
- Understand real-life use cases that show the importance of ML monitoring in one of the biggest industries.

Programming & Development

Co-Founder of NannyML


Wojtek Kuberski

LinkedIn

In this talk, we'll learn about the types of silent failures, and how to detect and address them.

Video recording for: How to detect silent failures in ML models

Discussion