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

Last modified by Giovanni Ciatto on 28/07/2021 10:48

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. 

Spritenario
Online, 12/03/2021
Tags:
    

Talk Data

Category
Talk

Language
wgb.gif

Partita IVA: 01131710376 - Copyright © 2008-2021 APICe@DISI Research Group - PRIVACY