2. Cyber Network Data Processing; AI Data Architecture

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MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
Instructor: Jeremy Kepner, Vijay Gadepally
View the complete course: ocw.mit.edu/RES-LL-005IAP20
KZfaq Playlist: • MIT RES.LL-005 Mathema...
This lecture started with anomaly detection and data conditioning in machine learning and later continued to explore the AI data architecture in data processing.
License: Creative Commons BY-NC-SA
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Пікірлер: 17

@douglashurd4356 3 жыл бұрын

I didn't know that there was anyone else who was so excited about naming files and folders. I no longer feel alone in the universe!

@zhinan888 2 жыл бұрын

beautiful stuff. very enjoyable.

@muhsinkhalif3621 10 ай бұрын

Wonderful lecture. Thanks for making it available on youtube

@raulsantana3846 2 жыл бұрын

Excellent discussion

@archibaldgoldking 2 жыл бұрын

its something new , what happens here , i like it very much, because i know mathematics , and like computer sciences

@swavekbu4959 2 жыл бұрын

35:03 - this pipeline represented is just like many terms in computer science, glorified terminology for concepts that have existed forever in stats and math and data analysis. Raw, parse, ingest, query, analyze . . . in other words, just getting your data file together and knowing what you're analyzing, that's pretty much it. No need for a "pipeline" term or fancy words to describe a process that has existed forever. "Ingest" data? OMG.

@lazywarrior 3 жыл бұрын

@21:51 Just curious how the "no attack" cases are tagged in this study. Is it the traffic data downloaded from that JP site? If so, then this is just the detection prob of the fake traffic that you inserted, right? You may also insert some normal traffic using that app, but then there's no point in using that JP data. I am confused here.

@kanatoko6044 2 жыл бұрын

I had the same question as you. I think that probably all data retrieved from Japan is labeled as "no attack". I am wondering if this does not include port scanning and DDoS.