Human Learning

Elemeno is a key player on a larger revolution happening in the world at the moment. Check our blog constantly to learn how your company could be getting the most from AI.

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Multi-Armed Bandits vs A/B Testing: A Comparison

Suppose you’re the owner of a popular online clothing store and you’d like to increase sales. An employee suggested that a “red” buy button icon will result in more clicks than a “blue” one. To empirically settle the question of which icon color yields more clicks, you decide to run a test. The standard approach to testing of this sort is A/B testing and involves the following:

Fancy hyperparameter tuning with Kubernetes

The usage of hyperparameter techniques has helped many machine learning experts automate the burden of manual empiric experiments to find the optimal (or close to) combination of hyperparameters for a model. With the first publications about the usage of algorithms to do this task dating from the early 2010s, it's safe to assume this is a new area that we're improving on at high speed.

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