Abstract: 

This session will give a brief intro into Computer Vision and jump straight into real world examples. We will keep the learning practical by walking through a number of projects in manufacturing, agriculture, retail, and home insurance, with takeaways that will be applicable to any organization and use case. Some common pitfalls around image models building and evaluating will be demonstrated as well as how to get around them.

Session Outline
Introduction to Computer Vision, Interesting Problems
Quick feature of Visual AI
Image models explainability using real data
Q&A (Last 15 mins of 75 mins slot)

Background Knowledge
Computer Vision experience will help but is not required

Bio: 

Principle Machine Learning Engineer at DataRobot for 3+ years, leads a team behind Visual AI. Anton connects R&D engineering team with product management to deliver the best product features that provide a lot of value to the customers. Over the course of his career he worked on delivering various Machine Learning systems to the cloud. Anton has publications in the area of Computer Vision and got his Master's degree from RWTH Aachen, Germany.