Sessions at EuroPython 2011 about Machine Learning and Analytics

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Friday 24th June 2011

  • Analytics and Machine learning for the web

    by Victor Miclovich

    Everyday we enjoy great experiences when we access websites that help the user in every aspect of interaction. Some web users prefer to get recommendations, suggestions and much faster contextual searches when they access a website or web application. This track talk shows you some great techniques that can be used to better improve website usability and will also include a demonstration with Django.

    The goal of this talk is to encourage many web masters, developers or engineers to use the best in analytics that Python has to offer (i.e. NLTK, numpy, scipy, etc.) The richness of python in this area is one no other language can compete with.

    Prerequisites to this track talk are knowledge of functional programming in Python, some mathematical concepts (graph theory, statistics) and basic understanding of OOP.

    At 9:00am to 1:00pm, Friday 24th June