Learn how to use hyperparameter optimisation to improve your machine learning models.
Learn about the algorithms (grid search, random search, Bayesian optimisation) and the Python optimisation libraries available.
Find out tips coming from the trenches that will save you time and hassle!
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0:00 Intro
0:54 Parameters vs hyper-parameters
1:39 Hyper-parameter optimisation
2:24 Optimisation techniques
5:22 Build or re-use?
6:03 Optimisation libraries
6:49 Optimisation tips
7:44 What parameters should you optimise?
9:30 Outro
