Michael I. Jordan: Machine Learning: Dynamical, Stochastic & Economic Perspectives

2019 Purdue Engineering Distinguished Lecture Series presenter Dr. Michael I. Jordan
While there has been significant progress at the interface of statistics and computer science in recent years, many fundamental challenges remain. Some are mathematical and algorithmic in nature, such as the challenges associated with optimization and sampling in high-dimensional spaces. Some are statistical, including the challenges associated with multiple decision-making. Others are economic in nature, including the need to cope with scarcity and provide incentives in learning-based two-way markets. Jordan's seminar present recent progress on each of these fronts.
Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive and biological sciences.
Full Abstract and Bio: bit.ly/jordan-seminar
More on this lecture series: bit.ly/DistinguishedLectureSeries
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Пікірлер: 5

  • @MrFurano
    @MrFurano4 жыл бұрын

    4:31 You're welcome.

  • @puripapa26
    @puripapa264 жыл бұрын

    michael i jordan. Der ist der Mann!

  • @promethful
    @promethful3 жыл бұрын

    It's a strange definition of intelligence that sees markets as intelligent but not squirrels

  • @davidw8668
    @davidw86684 жыл бұрын

    Lex's Podcast brought me here and I really enyojed that episode with MJ. Well after seeing this I think he should stick with CS an Statistic instead of Economy and Marketing. How ever overall an interesting speech.

  • @kamilziemian995

    @kamilziemian995

    3 жыл бұрын

    Lex's Podcast too.