onsdag, 16. januari 2019, LIVESTREAM, LIVESTREAM: Improve CNN Object Localization with Bayesian Optimization

från 16. januari 2019 - 19:20
till 27. december 2019 - 20:00


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Amgad Muhammads has a professional altitude grounded in the cross-cutting knowledge
and practice of both data science and engineering. Amgad helped teams to implement and deliver different AI systems utilizing stat-of-the-art deep learning architectures in different disciplines including computer vision and NLP.

Currently, Amgad works as Senior Data Engineer at Think Big Analytics where he introduced novel methods for fighting financial fraud utilizing state-of-the-art deep learning architectures. Moreover, his methods that are applied in one of the most trusted banks in the Nordics yield impressive results, compared to traditional machine learning algorithms.

This speech will be valuable for those who are interested in Data Science, or who would like to get inspired for their daily data science work.

What will Amgad talk about? Here is a plan:

A short introduction of what if CNN Object Localization

How to use Bayesian to optimize a model

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