#18 - 2018.10 - KNN and DimensionReduction; ML on hardware

SLOT1: Payback: KNN and DimensionReduction for Customer Shops data - Stephan Sahm, Payback

At Payback, one valuable data source is the connection between users and shops where they actually use Payback points. With the help of KNearestNeighbours and DimensionReduction techniques we want to use these resources in order to build a landscape of similar users.

SLOT2 - TBA

SHOW-AND-TELL - From idea to a hardware device that runs ML in 24 hours - Sergii Khomenko, Stylight / ML GDE / Hack ML

We run ML on servers, do fancy data science for our users. How hard is it to deploy the machine learning solution to actual hardware. The talk has a story of developing such a solution in 24 hours by one person. Presented common pitfalls and suggested shortcuts to implement a similar prototype.

We are looking for speakers and sponsors!

As always, we are super happy to have you with a lightning talk on your small or big successes, open source projects or just something amazing you would like to share.

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