Taking down ML pain points

Mär 25, 2018

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Über

At CEAi, we don’t like repetitive or tedious work. On the other hand, we like to build cool stuff that simplifies our lives. That's why we decided to get rid of some pain points that are pervasive in machine learning. “I trained a model 6 months ago … which data did I use again? What parameters did I try?” Don’t tell my boss but let’s be honest: usually, I can’t remember. Hence my motivation to talk about our effort to build a system that facilitates reproducibility, automates validation, testing, auditing and continuously searches for the next best model. In addition to this, the system will use active learning strategies to shorten the total time to model deployment and reduce load on annotator pools.

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Über Machine Learning Prague

Machines can learn. Incredibly fast. Faster than you. They are getting smarter and smarter every day. They are already changing your world, your business and your life. Artificial intelligence revolution is here. Come and learn how to turn this threat into your biggest opportunity. This is not another academic conference. Our goal is to foster discussion between machine learning practitioners and all people who are interested in applications of modern trends in artificial intelligence. You can look forward to inspiring people, algorithms, data, applications, workshops and a lot of fun during three days as well as at two great parties.

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