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

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.

[@thebicycleman8062]

we need MOAR talks like this! amazing!

[@gamuchiraindawana2827]

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.

[@gvpathi]

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

[@PallatiCharan]

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

[@juanotavalo]

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

[@thebicycleman8062]

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

[@noumantelusko1722]

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

[@bhawnadixit3138]

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..

[@yoloswaggins1072]

Have you had success?

[@lfmtube]

Great Video and better than great even explained! Thanks

[@shreyas9312]

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?

[@petegranneman1623]

Great Presentation... RIP TD Ameritrade

[@fifthfreedom7]

thank you! new ideas indeed!

[@m.almansoori9726]

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

[@criteoeng]

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

[@adityateja9900]

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

[@mathandsciencereboot2662]

Can this be done using SPSS?

[@muntedme203]

Sounds cool

👏🏻

[@vishalpandey2921]

robust approach simplified.

[@syromacho]

"What is the problem you are trying to solve? (And do I care about it?)". "Making sense" of a time series is a not a specific problem statement. I have watched for 15 minutes, and I wasted my time. This is mindless BS.