[March 30, 15:00] Tomáš Šabata: Kalman filter

Place: TH:A-1347

The Kalman filter is one of the most celebrated and popular data fusion algorithm in the field of information processing. The most famous early use of the Kalman filter was in the Apollo navigation computer that took Neil Armstrong to the moon, and (most importantly) brought him back. Today, Kalman filters are at work in every satellite navigation device, every smart phone, and many computer games.

Presentation slides are available here and video here.

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[November 12, 12:45] Pavel Kordik: Recurrent Neural Networks

Place: T2:C3-54 (FEL)

The presentation will be about special kind of neural networks, which contain so-called recurrent connections. This gives the network new capabilities such as internal state or ability to obtain signal derivatives. On the other hand recurrent links complicate the learning process as well as the recall phase. We will proceed from traditional approaches to newest topologies and algorithms, that are maturing towards practical applications. Some interesting applications of neural nets with memory have been recently demonstrated by Google and Facebook.

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[May 15th, 4pm] Jan Šedivý, Pavel Kordík: Data Science Summer

Learn about possibilities to spend this summer working on interesting data science related projects. There are several options including university research projects, industrial assignments. We can also support your data science related project (idea). Read more about eClub Summer Camp.

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[May 20th, 2:30pm] Tomáš Řehořek: Recommender systems

With continuously increasing number of available products and services every day there is a need for personalized recommendations for individual customers almost everywhere. The question is no longer whether there is a product which fits customers' needs but how to find it. Recommendations are beneficial for both customer and seller - customers will find relevant products easier and faster, which in turn might increase the profit for the seller. This is already common for e-shops and streaming services like Netflix or YouTube.

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[April 29th, 6pm] Tomáš Bartoň: Data Processing in Real Time with Storm

Come to Datalab and learn how data can be processed in real time using scalable infrastructure built on Mesos and powered by Storm. Tomáš Bartoň will present introduction to the field as well as our experience in building the systems on Storm. The event starts at 6pm, in the room 1347 (Datalab) of the Faculty of Information Technology, Czech Technical University in Prague.

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