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Rootlabs: Practical Hyperparameter Optimisation

Oct 7, 2021

Online evenement

Link visible for attendees

Any machine learning algorithm needs hyperparameters to define how the algorithm learns from your data and how the model looks like. These hyperparameters can have a large impact on how good the model learns from your data and how well it performs on data it has never seen before.
The optimization of these hyperparameters is often a time-intensive and computationally hard process. In the next Rootlabs @ Lunch, Hans Tierens explains several different approaches on how we can optimize and automate this process, so we can build better machine learning models in no time.
He will give an overview on what we need, how we need it, when we need it and how we can start doing it now!

This event is open to anyone and is organised by the machine learning guild in dataroots, which invests time and resources in research.
The link to the live stream: https://youtu.be/lZYcQ9XpRF0




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