Artificial Neural Networks VS Gradient Boosted Trees

In this episode of DS30, our hosts, data science instructors Michael Cullen and Ana Hocevar are joined by Zach King, senior data scientist with Go Daddy, to discuss his work with Go Daddy and the differences between artificial neural networks and gradient boosted trees. Make sure to subscribe and tune in every other week for a new episode as Michael and Ana take on new topics pertaining to the field of data science.

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Pragmatic Institute‘s data podcast, where we cover emerging and relevant topics in data science, data analytics, data engineering and pretty much all things data.