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    SE-Radio Episode 305: Charlie Berger on Predictive Applications

    SE-Radio Episode 305: Charlie Berger on Predictive Applications

    FromSoftware Engineering Radio - the podcast for professional software developers

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    SE-Radio Episode 305: Charlie Berger on Predictive Applications

    FromSoftware Engineering Radio - the podcast for professional software developers

    ratings:
    Length:
    63 minutes
    Released:
    Oct 9, 2017
    Format:
    Podcast episode

    Description

    Edaena Salinas talks with Charlie Berger about Predictive Applications. The discussion begins with an overview of how to build a Predictive Application and the role of Machine Learning. It then explores different Machine Learning algorithms that can be implemented natively in a database.
    Released:
    Oct 9, 2017
    Format:
    Podcast episode

    Titles in the series (100)

    Software Engineering Radio is a podcast targeted at the professional software developer. The goal is to be a lasting educational resource, not a newscast. SE Radio covers all topics software engineering. Episodes are either tutorials on a specific topic, or an interview with a well-known character from the software engineering world. All SE Radio episodes are original content — we do not record conferences or talks given in other venues. Each episode comprises two speakers to ensure a lively listening experience. SE Radio is brought to you by the IEEE Computer Society and IEEE Software magazine.