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EAA Web Session

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In computational science, deep learning probably is one of the most heralded techniques of present time and recent history, mainly due to its versatility and impressive achievements likewise. Indeed, applications of deep learning range from beating the (human) world champion of the highly complicated Go game to the promise of deploying self-driving cars in the near future, on a large scale and all over the world.

Deep learning (DL) pertains to the field of artificial intelligence and is great at extracting and mastering the often highly non-linear patterns of a given process, whatever this process might be. The only main requirement is the availability of a large amount of data that describes the behaviour of the process under different conditions and a truckload of computational power. However, since the price of data storage and the effort of sampling data has dropped dramatically over the last years, and since Moore's law on the increase of computational power does even nowadays not show any signs of a slowdown, fitting deep learning models that are able to produce extremely useful predictions are a reality and this already for some years now.

The main purpose of this web session is to get the participants acquainted with DL models, and applications on text analysis will help achieving this. To this end, a healthy mix between theory and practice will be provided, however, it is important to note that some time will be spend to go through the theoretical foundations of neural networks and hence DL, as the inner workings of these models are a bit different from the ones of the classic statistical models.

Your early-bird registration fee is € 450.00 plus 19% VAT for bookings by 13 October 2022. After this date, the fee will be € 585.00 plus 19% VAT.

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Macro-Level Actuarial Reserving Models | 20/21 October 2022

Whistleblowing - Practical Education for Actuaries | 24 October 2022

Implementation of an Efficient ERMF-Process | 26/27 October 2022

...and a lot more! Explore our website for more information or download our overview.

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actuarial-academy.com

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