Automatically Find Patterns & Anomalies from Time Series or Sequential Data - Sean Law

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  • เผยแพร่เมื่อ 2 ก.ค. 2019
  • In this talk, you’ll learn of a brand new and scalable approach to explore time series or sequential data. If anybody has ever asked you to analyze time series data and to look for new insights then this is definitely the open source tool that you’ll want to add to your arsenal.
  • วิทยาศาสตร์และเทคโนโลยี

ความคิดเห็น • 25

  • @gvpathi
    @gvpathi 6 วันที่ผ่านมา

    Stamped with your presentation skill. All clear and lucid and 100 slides. 🎉❤🎉

  • @thebicycleman8062
    @thebicycleman8062 10 หลายเดือนก่อน +4

    we need MOAR talks like this! amazing!

  • @gamuchiraindawana2827
    @gamuchiraindawana2827 5 หลายเดือนก่อน +2

    I've never thought about "no free lunch" the way he explained it, that there's always a price to pay in the form of a tradeoff, when you gain performance here you're likely loosing something else there.
    I always looked at it from the perspective that you can't just blindly apply a model on a dataset and expect the model to do all the work for you without any more input from you.

  • @petegranneman1623
    @petegranneman1623 7 วันที่ผ่านมา

    Great Presentation... RIP TD Ameritrade

  • @noumantelusko1722
    @noumantelusko1722 ปีที่แล้ว +4

    nice explanation and great work, may be this is what me and my team were looking for thanks man!

  • @juanotavalo
    @juanotavalo ปีที่แล้ว +1

    Very clear explanation, I'm not a native english speaker but I understood everything clearly.

  • @PallatiCharan
    @PallatiCharan 4 ปีที่แล้ว +4

    This is the best and easy way to find an anomalies but it's effective thanks Sean law introducing open source library stumpy

  • @lfmtube
    @lfmtube 2 ปีที่แล้ว +1

    Great Video and better than great even explained! Thanks

  • @bhawnadixit3138
    @bhawnadixit3138 4 ปีที่แล้ว +6

    Thank you for explaining it well. I was searching for something with respect to biological data and may be I can use it. Great talk..

  • @thebicycleman8062
    @thebicycleman8062 10 หลายเดือนก่อน +1

    I like how the word MOAR is the most ENLARGED TEXT lollll

  • @shreyas9312
    @shreyas9312 2 ปีที่แล้ว +1

    at 15:50 the matrix profile looks like it is not plotted as is - based on the second subplot, the Y axis is between 0.5 and 2.5 whereas the matrix profile has values ranging from 1.4 to 14.1- what kind of processing has been done on the matrix profile before plotting it?

  • @adityateja9900
    @adityateja9900 3 ปีที่แล้ว +3

    16:22 .. I thought that guy was asleep lol

  • @mathandsciencereboot2662
    @mathandsciencereboot2662 3 ปีที่แล้ว

    Can this be done using SPSS?

  • @m.almansoori9726
    @m.almansoori9726 ปีที่แล้ว

    Great presentation; is it possible to implement it in sequence log data clustering?

    • @criteoeng
      @criteoeng  ปีที่แล้ว +1

      Hello, we would advise reaching out to the speaker, Sean Law, directly.

  • @muntedme203
    @muntedme203 ปีที่แล้ว +1

    Sounds cool

  • @vishalpandey2921
    @vishalpandey2921 3 ปีที่แล้ว +1

    robust approach simplified.