Iyar Zaks

Data Scientist at ActiveFence

1 Article

Iyar Zaks is an experienced Data Scientist and is part of a team that is responsible for developing machine-learning solutions to detect malicious activities online. As part of his recent work, he worked on our near duplicate detection algorithms for video, audio and documents as well as developing models for computer vision, NLP, and classic machine learning.

Dec 28, 2022

How did we get to a deep learning model for symbol recognition with a small amount of labeled information?

Online platforms rapidly update with petabytes of data from the content generated by users. Hidden within this data is harmful and malicious content. Learn how subject-domain expertise and AI can detect such content and keep users safe

6 min read