Lecture: Mathematics of Big Data and Machine Learning

MIT RES.LL-005 D4M: Signal Processing on Databases, Fall 2012
Instructor: Jeremy Kepner

Jeremy Kepner talked about his newly released book, "Mathematics of Big Data," which serves as the motivational material for the D4M course.

License: Creative Commons BY-NC-SA

[grahamd]

I'm an older person and I am learning this from scratch and find it fascinating and fulfilling.

[mitocw]

Fixed an edit error. One of the slides was out-of-order with the video. Specifically, the slide at 1:42 to 6:18 was supposed to be a white circle on a black background.

[meinbherpieg]

Thank you for bringing order to the chaos of this world and making it freely available for us to attempt to engage with.

[fuzzy-life]

"Curve fitting without domain knowledge" the best tagline ever for AI ;)

[itsalljustimages]

I love it when scientists talk about Philosophy. Science takes you closer to reality, and philosophy takes you closer to the truth of this reality.

[MijeshDeuja]

Thank you MIT for such high quality courses.

[bigollie]

Thank you so much. If you're involved in making this content available to us. Thank you.

[jigjjop]

wow... this is from 2012, and here we are at the end of 2018 and still learning. Just shows how far MIT is ahead in the game.

[DmitryRomanov]

Thank you so much! It was a real pleasure to watch and to think through.

[toprakozturk]

I didnt get back propagation. How it works, moreever what it is.
All the instructers i have saw so far looks like they grasped the content.
Here Mr. Jeremy says most of the people just play with numbers. That gave me courage to have my own 'idea' about what is going on:
It is like having preconception about something at first. And building backup to the them as you perceive valuable data. Until preconceptions are no more needed.
Well thats my bias for deep learning. I can change it as i learn more

[sitrakaforler]

18:20 OMG I love the reference of "Le petit Prince"

[laurenceevans]

make 2 neural networks. one with only 2 layers but millions of neurons, one with only 2 neurons and millions of layers. whichever one makes more accurate predictions would likely signal which area is more important to neural computation

[videofountain]

MIT D4M ... Searching this phrase finds other videos with the YouTube viewer. The search phrase comes from the video information directly below the video.

[AnandSinghVentures]

Hi MIT, why was this course archived. I am just a huge fan of Jeremy Keplar. He is an awesome researcher and makes stuff so exciting.

[kosmonautofficial]

Great video this was awesome! Thanks for the free learning!

[samt]

2:33 Perfect circles definitely would exist in nature. E.g. Please take a look at a hot cup of coffee after adding some butter to it. The butter drops form circles that 'look' perfect. So ideally, with pure ingredients we have a shot at having those perfect circles at the periphery of oil drops .

[philosophers_wool]

It's a great lecture ! I just wish if we could also get problems or assignments related to whatever has been taught.

[Alex-xfpl]

I find the title to be misleading. This course is 80%, if not more, about working with d4m, the library for Matlab developed by the professor, doing different analytics with it on some sample data.

[gr-thearchitectml]

The drawing of the elephant inside a snake, is it adopted from the book The Prince? It looks awfully similar to the drawing in the book

[Sirvaiya]

Please inform where are other videos on this series (Mathematics of Big Data and Machine Learning
)