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

@talk{ciattoml2019,
    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 = {Cesena, Italy},
    apice = {CiattoML2019},
    author = {Ciatto, Giovanni},
    date = {2019-12-18},
    howpublished = {PSLab Workshop Series},
    language = {en},
    month = dec,
    sort = {talk},
    speaker = {Ciatto, Giovanni},
    title = {Machine Learning: Classification and Regression (From the Software Engineer Perspective)},
    type = {Talk},
    year = 2019
}