@mikiobraun: "For each of these examples, you have widely different requir..."

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Mikio Braun

@mikiobraun

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For each of these examples, you have widely different requirements when it comes to amounts of data, types of data, complexity of preprocessing, complexity of model, how the model is deployed.

Aug 01, 2022 · 09:49

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Yeah, good question, Bill! I think one of the challenges is that ML is much less homogeneous than yo...

Aug 01, 2022 · 09:49

Just to provide some examples, an ML model could be - a computer vision object detection system - a ...

Aug 01, 2022 · 09:49

For each of these examples, you have widely different requirements when it comes to amounts of data,...

Aug 01, 2022 · 09:49

Sales forecast might be a classical multivariate time series model like ARMA that fetches a year of ...

Aug 01, 2022 · 09:49

Object detection systems require a lot of hand labelled data, are deep learning systems that require...

Aug 01, 2022 · 09:49

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