MLMU BA #4 - The role of optimization in Machine Learning

April edition of Machine Learning Meetup changes language to english! It will be dedicated to The role of optimization in Machine Learning, by Dominik Csiba.

Optimization is a key component of most of the machine learning methods. Current problems often feature large amounts of high-dimensional data fitted by a complex non-convex model, such as deep learning, which are very difficult to learn efficiently. Novel approaches arise every month to tackle these problems, but the training time is often still unsatisfactory. In this talk, I will present a few scenarios, where optimization is the main bottleneck – featuring questions such as: “What kind of problems are difficult for deep learning?”. The talk is aimed for general technical audiences, everybody is welcome!

Dominik Csiba is in his last year of PhD studies at University of Edinburgh and a data scientist at Operam, working on large-scale optimization for machine learning applications. On top of his research activities, he gained a lot of knowledge and experience from teaching, internship positions, and organizing student competitions. He is a frequent guest on talks at universities and tech companies, so we have a great talk to look forward to!

We are looking forward to meet you on Wednesday April 19th at Kafe Nervosa. As usually you can expect discussion, small refreshments and lively networking after the talk.

Please register via following link: Eventbrite (https://www.eventbrite.com/e/mlmu-ba-4-the-role-of-optimization-in-machine-learning-dominik-csiba-tickets-33153404726)

More about ML Meetups Bratislava on our website: http://www.mlmu.sk/ (http://www.mlmu.sk/)