Model Selection with Python: An Introduction to Hyper Parameter Tuning
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The number of machine learning algorithms available and the options presented for their configuration presents a bewildering array of choices. This talk will discuss strategies and algorithms for making these choices in a principled way.
The world of machine learning is like a restaurant that presents an incredibly complex menu. There are so many choices for modelling algorithms and settings that it's hard to keep up. This talk discusses strategies for handling these choices in a principled, simple manner.
Patrick Robotham is Principal Machine Learning Engineer at Nimble.