Machine Learning Architecture in Retail by Matthias Niehoff

A first machine learning model is quickly trained and the results look promising. But so far no added value has been generated for the company.

How does the model now make it to a usable service? Which architecture is necessary to carry out machine learning in a meaningful way? And which technologies are relevant?

A talk without statistical and mathematical stuff but an overview of required technologies, deep dive into selected components and an explanation why (data) engineering is an elementary part of every data science project. A real world retail example is used.

------------------------------------------------------------
Registration required: https://bit.ly/2Y06tOd