Machine Learning: Classification and Regression (From the Software Engineer Perspective)

Giovanni Ciatto  /  Giovanni Ciatto

In this talk we provide an overview of the most common tasks nowadays exploited by data scientists  namely, classification and regression  from the software engineer perspective.
In doing so, we provide a theoretical introduction concerning the modelling, purpose and limitations of the aforementioned tasks, along with a brief discussion on the existing methods implementing them.
In particular, we focus on the many choice points and subtleties a software engineer may encounter while developing a ML workflow.
Finally, we show a programming ecosystem  namely, SciKit-learn plus some related Python libraries  aimed at at supporting software engineers in implementing their workflow. 

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