1. Artificial Intelligence and Machine Learning

MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
Instructor: Jeremy Kepner, Vijay Gadepally

This lecture provided an overview on artificial intelligence and took a deep dive on machine learning, including supervised learning, unsupervised learning, and reinforcement learning.

License: Creative Commons BY-NC-SA

[pauloat]

Love that they repeat the question before answering. It's hard to follow online classes when some students ask something and you only get the answer.

[anjaligupta]

This is a great video for overview of AI and ML !
Will stay tuned for upcoming videos in this course.
Thanks MIT OCW.

[thefbeeye]

Wow so glad y'all posted this! Exactly the field I'm trying to learn

[alphabah]

This is so great for making these valuable ressources completely free to us.

Would you consider uploading courses for civil engineering department?
Thank you 🙏🏽

[hojunglee]

Really pleasure to listen to him, even though I am not in this field. Admirable

[IndieGuvenc]

it's not always that you want an unlimited dataset in machine learning. Sometimes you want to limit your dataset. For example if you're trying to figure out if you're in a stock market recession or expansion you don't want to go over 2 years (+- months) of data because you'll end up in another cycle. Symmetry and Domain limits are important in machine learning. My point is sometimes too much data is a waste of time and resources

[johnchateau]

Great video guys and handfull overview of AI and ML, well summarize and explanations. clear slides and precise examples.
each question people did cleared doubts after Vijay's answers.
Thank you MIT team Mr Jeremy and Vijay.

[ezronngeno]

This is so exceptional and simplified, am so grateful for this.

[abbasmehdi]

So nice lectures and professors .
Wish to attend a real lecture at MIT .

[Rei_n]

Excellent for a newbie. Thanks for the great effort to cover all the basis in simple, but still reasonably indepth way.

[anonviewerciv]

Mostly overview, not much nitty-gritty.
16:06 The primacy of data sets.
37:03 Clearly demonstrated by that famous 1983 documentary WarGames.
42:55 Machine Learning and Neural Networks.

[zhinan]

Awesome. I need this for for recharging

[sehbinpapark]

Thanks a lot for describing such a big comprehensive AI information in such a way that I can easily see and understand the forest of AI, especially machine learning !!!

[aadityaza]

Such a great time to be alive. Thank you MIT OCW

[xXxIMMORTALxXx]

Great introductory video! The presentation covers just about everything there is to know about Artificial Intelligence and Machine Learning up until the present time. I wonder if the general public can download his slides somewhere? I'd love to have a detailed look at all those slides.

[tylermoney]

we could of been different, but would the ego always overtake? I don't know finish it

[gustavosanchezdelarosa]

Please upload some Abstract Algebra course

[Algovibes]

Great resource. I will recommend that on my channel. Thank you very much for sharing.

Kind Regards
Algovibes

[Trazynn]

Was this recorded in a wind tunnel? Why not use some of that machine learning and cut out all that background noise?

[procastrination]

Thank you so much for these lectures MIT