On October 1, 2019, I will be giving an invited talk at Huawei’s ‘Planet-Scale Intelligent Cloud Operations Summit’ in The Gibson Hotel Dublin (11:30 o’clock).
Abstract: Selecting and configuring the most effective algorithm for a computational problem is a non-trivial task — be it for machine learning, recommender systems, or for IT Operations. Typically, even experts struggle to predict, which algorithms will perform well in a given system. We tackle the algorithm selection problem from a recommender-system and meta-learning perspective, in which we learn and predict a) the overall best algorithm for a given problem space and b) the best algorithm for each instance in the problem space. In my talk, I am presenting the general concepts behind recommender systems, automated machine learning, and my business start-up Darwin & Goliath that offers automatic algorithm selection as-a-service.
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