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

@talk{ciattomlspritenario2021,
    abstract = {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.},
    address = {Online},
    apice = {CiattoMlSpritenario2021},
    author = {Ciatto, Giovanni},
    date = {2021-03-12},
    howpublished = {Spritenario},
    language = {en},
    month = mar,
    sort = {talk},
    speaker = {Ciatto, Giovanni},
    title = {Machine Learning: Classification and Regression (From the Software Engineer Perspective)},
    type = {Talk},
    year = 2021
}