The Committee Innovation of PWN (Platform Wiskunde Nederland), Eindhoven University of Technology and TopQuants are proud to announce their third College Tour on Data Analytics for professionals. The college tour consists of a series of lectures on a number of related topics. Each topic is carefully selected to align with current developments and trends in analytics, data science and machine learning. The lectures cover a historic overview and a deep dive in recent developments. After a lecture you will have a deeper understanding of the topic and a number of practical pointers to explore further on your own.
The lectures are intended for professionals with a background in science interested in current trending topics. It is envisioned that the lectures and the networking afterwards will facilitate a healthy dialogue between academia and industry to foster the sharing of knowledge.
The lectures will take place in the evening starting in September. Catering will be provided during walk-in and afterwards participants are invited to join the informal networking part of program. Complementary drinks will be served.
The fee for the program is set at € 320 with everything included. An early bird fee of € 280 applies for registrations before August 15, 2019. The number of tickets for the complete series of lectures is limited to 40. One can also register for individual lectures for € 120 per lecture. The number of these tickets is limited to 5 per evening.
On each evening, from 18:45 – 19:30 a light walk-in dinner will be provided for the participants. The lecture itself will take place from 19:30 – 21:30, followed by networking from 21:30 till 23:00 at the latest. All lectures will be held at the Conference Center High Tech Campus Eindhoven, Bohr room.
The four lectures will be on:
- Deep Learning – Part I (Thursday 12-09) – dr. Vlado Menkovski (TU/e)
- Deep Learning – Part II (Thursday 19-09) – dr. Vlado Menkovski (TU/e)
- Anomaly Detection and Monitoring – Part I (Thursday 03-10) – prof. dr. Mykola Pechenizkey (TU/e)
- Anomaly Detection and Monitoring – Part II (Thursday 10-10) – dr. Alessandro Di Bucchianico (TU/e)
An abstract and short biography of the speaker can be found by clicking on the links above, or below. A program booklet with the same information can be found here.