Machine learning is ever more present, both as a tool in many areas of academic research and as a technology that shapes modern society, an impact that is in itself a subject worthy of study. In this workshop we will start from the basics on what is a machine learning, model, its components and some key concepts to understand research in machine learning. The workshop will hands on examples of some machine learning models with the popular scikit learn toolkit (a python toolkit included in anaconda). I will also introduce concepts related to the problematics around machine learning in today’s world (model transparency, bias, etc).

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