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#ML Conference

Watch Thiago da Silva Alves and Jean Metz's Machine Learning Conference 2019 session

Honey bee conservation using deep learning

Honey bee colony assessment is usually carried out via the laborious manual task of counting and classifying comb cells. Beekeepers perform this task many times throughout the year to asses the colony’s strength and to track its development. As you can imagine, this is an extremely time-consuming and error-prone task.

Watch Oliver Zeigermann's Machine Learning Conference session

Machine learning – How do Chess Engines work?

In his talk at Machine Learning Conference 2019 in Munich, Oliver Zeigermann talked about how chess engines work. Game playing is a classic discipline of AI and had a major break through in the 90s when Deep Blue defeated Kasparov and arguably became the world’s best chess player.

Watch Dr. Pieter Buteneers' Machine Learning Conference 2019 session

Chatbots suck

Chatbots suck. Watch Dr. Pieter Buteneers break down how and why they suck, how they might be improved in the future, as well as some of the failures he and his team experienced and how they learned from them. This is the talk he gave at Machine Learning Conference 2019.

Buy your tickets before March 7 and save up to €480!

The ML Conference 2019 program is now live!

It’s here! Take a sneak peek at the upcoming sessions; there’s a lot for ML developers of all experience levels. Get ready to learn all about the latest innovations in machine learning at ML Conference 2019! Buy your tickets now and save big.

See Philipp Beer speak at the ML Conference on 5 December 2018 in Berlin!

“Designing proper data collection today improves the quality of ML outcomes tomorrow”

Machine learning may have all sorts of use cases, but forecasting? In honor of the upcoming ML Conference, we talked to Philipp Beer about how data scientists can utilize ML in statistical forecasting. We talk about the advantages and disadvantages of modern vs. classical methods, how can one decide between the two, and where should they turn when they need good predictions for their business KPIs.