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.
@nick183034 жыл бұрын
Zorak Universo god yes IKR! I watched something last night and thought this exact thought
@borjonx2 жыл бұрын
YES
@kshitizbasnet77442 жыл бұрын
yes,exactly i have the same thought on that
@ianprado14884 жыл бұрын
Never clicked so fast on a lecture
@gauravdubey69894 жыл бұрын
😂😂😂😂
@kimhyeonghu23094 жыл бұрын
same
@debanjanchatterjee90074 жыл бұрын
Same 🤣
@treasuretroves54974 жыл бұрын
Absolutely!!
@achhegowda57444 жыл бұрын
Same.
@thefbeeye15194 жыл бұрын
Wow so glad y'all posted this! Exactly the field I'm trying to learn
@anjaligupta87064 жыл бұрын
This is a great video for overview of AI and ML ! Will stay tuned for upcoming videos in this course. Thanks MIT OCW.
@AjayKumar-bd6eb2 жыл бұрын
Aap join karege
@IndieGuvenc2 жыл бұрын
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
@alphabah98223 жыл бұрын
This is so great for making these valuable ressources completely free to us. Would you consider uploading courses for civil engineering department? Thank you 🙏🏽
@monkeydluffy43192 жыл бұрын
p
@hojunglee1305 Жыл бұрын
Really pleasure to listen to him, even though I am not in this field. Admirable
@johnchateau6 ай бұрын
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.
@anonviewerciv4 жыл бұрын
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.
@shivang5814 жыл бұрын
Do I need to have some sort of prerequisites for this course?
@mitocw4 жыл бұрын
@@shivang581 The prerequisites listed in the syllabus are: 18.06 Linear Algebra and familiarity with MATLAB®. See the course on MIT OpenCourseWare for more info at: ocw.mit.edu/RES-LL-005IAP20. Best wishes on your studies!
@bikram_jha3 жыл бұрын
@@mitocw Thank you! my question was also same.
@abbasmehdi29234 жыл бұрын
So nice lectures and professors . Wish to attend a real lecture at MIT .
@ezronngeno23942 жыл бұрын
This is so exceptional and simplified, am so grateful for this.
@NazriB2 жыл бұрын
Lies again? AIA Malay
@Rei_n14 жыл бұрын
Excellent for a newbie. Thanks for the great effort to cover all the basis in simple, but still reasonably indepth way.
@ichtube4 жыл бұрын
title: buzzword and buzzword
@tylermoney7852 жыл бұрын
we could of been different, but would the ego always overtake? I don't know finish it
@Bookerer4 жыл бұрын
Thank you MIT OCW for the captions!!
@zhinan8882 жыл бұрын
Awesome. I need this for for recharging
@sehbinpapark81654 жыл бұрын
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 !!!
@hannukoistinen53292 жыл бұрын
There is always a human mind beyond machines. No matter what.
@humanonearth12 жыл бұрын
Is it not essentially a digital computational simulation of Darwinian natural selection?
@gustavosanchezdelarosa21804 жыл бұрын
Please upload some Abstract Algebra course pleaaasssssseeee
@soneriftar4 жыл бұрын
artificial neural networks, complexity-emergence, order, information theory, qbit, machine vision... all are on the way... but forget all. just learn python;)
@Darkphibre4 жыл бұрын
Holy heck yes. TY!!
@MA-nv6kc4 жыл бұрын
Is python an easy language to learn for a person who didn't know about programming or computer science ?
@Francisco17Berrios4 жыл бұрын
@@MA-nv6kc It's easy, but if you want to learn it fast, buy a Udemy course or try to find free courses so you can progress faster. Obviously the hardest part of python is the understanding of the math you are going to use, if you have high level math skills, python will be "easy" for you, but still you need some course to move/learn faster
@MA-nv6kc4 жыл бұрын
@@Francisco17Berriosthank you for your response. I have a strong background in math.. obviously, this will help me in learning python faster.
@aadityaza34234 жыл бұрын
Such a great time to be alive. Thank you MIT OCW
@leif10753 жыл бұрын
Doesn't the math bum you out though :/..
@marcelluswallace40763 жыл бұрын
Imagine year 2150
@suneeshss68034 жыл бұрын
Thank you
@nikhiltyagi84222 жыл бұрын
Proudly INDIAN 🇮🇳🇮🇳
@camilaassrar38372 жыл бұрын
amazing video and help me to learn more this technology thanks
@procastrination83283 жыл бұрын
Thank you so much for these lectures MIT
@indawgwetrust42553 жыл бұрын
Autonomous vehicles are pretty safe. While this is debatable and certainly a matter of opinion, I (and many others) would argue that the barrier to wider adoption isn't due to the navigation systems being unsafe; it's our unwillingness to accept anything short of perfection. It's not really a fair comparison (Human vs. AI drivers) if we only count strikes against one side.
@Zuperior72 жыл бұрын
Recommend any entry level tech jobs we can get into
@sreenathabbaraju331 Жыл бұрын
Does AI(Artificial Intelligence and Machine Learning have application in the electronics & chemical industry?
@arer904 жыл бұрын
Excellent video!!
@juansergiolavin60854 жыл бұрын
many thanks
@ar11_4 жыл бұрын
I only know c and c++ language. Can I understand AI and ML?
@aviskhatiwada71414 жыл бұрын
Ofc. Even tensorflows python api uses a c++ engine for efficiency.
@soneriftar4 жыл бұрын
ai with python is promising.
@soneriftar4 жыл бұрын
@Ricardo Santos AI have been being prototyped yet:))
@user-vi3pi9rf7w4 жыл бұрын
@Ricardo Santos in my defense, python is easy and makes sense to plebs
@Rayhuntter4 жыл бұрын
Guys, which is the most important book on AI/Machine learning that you've read and why?
@Anonymousperson921284 жыл бұрын
There's this book called super intelligence by Nick Bostrom thats mainly about the dangers and paths of A.I. Elon Musk recommends it and I've read some of it too, its pretty interesting.
@deepdavariya6168 Жыл бұрын
So Helpful For Me
@xXxIMMORTALxXx4 жыл бұрын
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.
@mitocw4 жыл бұрын
Lecture notes are available on MIT OpenCourseWare at: ocw.mit.edu/RES-LL-005IAP20. Best wishes on your studies!
@xXxIMMORTALxXx4 жыл бұрын
Thank you MIT for allowing us all to enjoy your quality education at a fraction of the cost :) Your content has been very helpful to me during Covid lockdown when I have to study at home.
@AnkitMishra-hd5uu3 жыл бұрын
@@mitocw can u upload c++ video lectures pls
@Algovibes4 жыл бұрын
Great resource. I will recommend that on my channel. Thank you very much for sharing. Kind Regards Algovibes
@Trazynn4 жыл бұрын
Was this recorded in a wind tunnel? Why not use some of that machine learning and cut out all that background noise?
@Zuperior72 жыл бұрын
Love this course
@ChipMcIntosh4 жыл бұрын
More please!!!
@natalisransi4 жыл бұрын
great video_____ thanks for sharing....
@komalsadvilkar28172 жыл бұрын
Outstanding the Video 👍💯
@subramanianchenniappan40594 жыл бұрын
Great
@inteculus6034 жыл бұрын
Nice
@abdulganiabdulrahim3 жыл бұрын
Thank you for sharing.
@Passione2024 Жыл бұрын
Thank you so much !
@Tomharry9102 жыл бұрын
Thank you!
@strangetoucane4 жыл бұрын
Like the new look
@dr14723 жыл бұрын
good information. thank's a lot^^
@thetranquilleforce76282 жыл бұрын
Thanks so much for This course.
@randomstuff16904 жыл бұрын
I watched whole video and it's went over my head.
@PhoenixProdLLC4 жыл бұрын
Watch it again but the next time Reeelaaaxxxxx. Just listen and hit Pause if you need to look at a slide closer or run the click back on the timeline in the video and repeat anything he says you aren't quite getting. If it sill stumps you, get a piece of paper and a pen and go to the spot in his lecture you started getting confused. Listen for keywords you don't know, write them down, and run a search on them. You may find you make an indirect 'leap' in your understanding merely by comprehending those words *in the context of their use*. Or, you can write diem what your problem is. "When he starts talking about X, I get confused. It's X I don't understand OR I don't understand X in the context he's using it. Is that what's confusing me?". I guess I'm saying that if you can identify when and where you Begin to get confused, you may find your problem isn't with the topic or the lexicon, but that your attempt to understand came Before your brain was prepared To understand. IOW, if you don't speak Greek it won't matter WHAT the person is trying to tell you, because you literally don't know the meanings of the words (labels). So a word like Cat "points to" a place in your brain that has ALL the features of Cats you've learned about and have experience with: 4 legs, long tail, average adult cat size, whiskers, vertical pupils, triangle ears, fur(soft), meows, etc etc. But if you hear a word or phrase you've NEVER heard, it could be a new wordand you could be an expert in your field but your don't live in the time zone where big science stuff breaks out in time right so there you are,?an expert, a new word in your professional lexicon but you don't know it! So your peer uses it, you get confused, they explain it to you, you're embarassed. ALL of THAT is highly complex behaviors/results and systems at work, at blisteringly fast speeds. The very process of learning itself, which is what a lecture like this tells me, is not a static series of methodical, linear actions is occurring in learning but that there's all sorts of pre and post events tied to a minor event and you have millions of these minor events not occurring in any typically plodding way of "first This, then That" but rather more burst_events like millions of Roman candles, and each burst is made up of several trailing rays moving away from the burst but in human learning it would be more like each burst events rays that come out from it were sidewinding and crossing the paths of rays trajectoried from their burst event. So I say Cat and without anyone being able to tell, your mind searches for Cat to make an association and a check that your brain can and does know what a Cat is. Cool, you can understand my language. But in learning Experience To Concept, Experience To Object, and Experience to Topic (I'm arbitrariy making up phrases here btw, and I've capitalized them so you can tell there's some special text emphasis going on, and now you know what it is ). So with Cat, let's say: 1. You have experience To the Concept of Cat (non-human animal) 2. You have experience to the Object of Cat (physical features) 3. You have experience to the topic of Cat, (maybe you had a kitten as a kid and how you feel about that experience might impact how effectively you continue to learn about Cats, maybe you have superstitions about Cats, etc etc). The man giving this lecture is speaking English. Do you have any issues at all with English? Maybe it's not your first language? Or is it your first language but you don't know anything at all about Computer Science other than it is a field of study and research? If that's the case, then did you listen to his entire lecture but you understood literally nothing he said or...? Do you know that it's normal for a speaker to be an expert on the topic and the people listening are not? And in that case, do you think its possible at least a few in the audience probably missed things he said or were confused by them, but group dynamics are such they'll not admit to it and improve Learning but rather tend to stay silent, and then forget to address themselves to what they did NOT understand? It's quite frequent for people to lie to each other about what they don't understand. You say it went over your head. Its nearly a 2 hour lecture. So are your saying you sat paying close attention for 2 hours to this man and it ALL went over your head? You have no clearer understanding about differences between AI learning and Machine learning? After the slides and his lecture, it all "went over your head"? Sir or Madam, at this point I want you to cut yourself some slack. For one, it's very difficult being a human being. For two, communicating with each other, even in the most ideal circumstances, is THE hardest thing we do together. Finally, I hope in this comment you will be able to asses yourself more fairly in the future. Maybe you're too hard on yourself. Or maybe you're too easy and make too many excuses, too frequently, for under performing and it feeds into a complex self-sabotage crisis that feeds into anxiety that feeds into system overload that feeds into failure that feeds into self-confidence and this is your 'endless loop' bug. The feature of your brain that is still curious compels you to watch this video, right? But the bug is corrupting the signal trying to stay live long enough to steer you To Learning. I'm saying that SOME part of you WANTED to understand. Why? Do you know? And, are you aware this comment has used certain aspects of the videos topic when replying to you? 😁 Computer Science is a VERY big umbrella with lots of cool things to study and participate in. Maybe you should cut yourself some slack and go ahead and start studying it? Or maybe you're more the Computer Engineering type? Well pick one and them go to MITs website and look up what their CompSci classes are and what textbooks then try to get the books and away you go. No muss, no fuss, no college debt. If you don't *need* the degree, NEVER buy any universities debt! You are allowed to study & learn apart from Universities. You are allowed to study & learn apart from degrees. As a child, I had read and learned enough that I decided I wanted to become an autodidactic dillatante, and that's precisely what I achieved by 21. Best thing I ever put myself through. Philosophy, History(World/Military/Americas as well as an immense number of "History Of...Specific Topic"), Maths (i stopped teaching myself at Calculus I'm afraid), Chemistry, Biology, Marine biology, French, Latin, Spanish, German, Anatomy & Physiology, sevetal extensible and non-extensible computer languages, system architectures, large object models, and on and on it goes my friend. Your study, you learn, you put it into practice for awhile by Trying and Failing a lot then comes your Eureka moment. It all makes sense to you. For me, it's that I'm alive to learn. When I tire of learning I know I'll be near my check out time for Hotel Earth. And all I learned will be lost and I won't be sad about it for even a second because all the confidence and contentment that comes from Knowing pales in comparison to the excitement and mystery and surprise, and yes the aggravation and tedium and suffering, if you will, is there as well, they are part of the price of the ticket after all, being immersed in and wholly consumed in the act of Learning. If you can catch what I'm saying to you, then you may realize I've paid pretty close attention to Learning :) And *this* particular path is the reason I know as much as I do about so many different topics or why it's difficult for religous fanatics to be around me (and vice versa), but this isnt me humble bragging so much as poking you with a long stick to say,"Why would you let anything go over your head you obviously had to have had SOME interest in catching." ?
@facitenonvictimarum4 жыл бұрын
@@PhoenixProdLLC Let me guess, you're quarantined and can't get your medications. Don't do anything foolish. Call 911 if necessary.
@nick183034 жыл бұрын
Lmfao Jesus Christ that was an intense comment
@jamalmzu4 жыл бұрын
Beeble Brox Thanks !!!
@abdullahbinzubair80483 жыл бұрын
Love the way how this guy generalized the whole picture of AI.
@yuanyi8274 жыл бұрын
thanks a lot MIT. If it is possible,could you make the videos of 18.04 Complex Variable with applications?I really want to watch that course.Thank you very much.😁
@Zuperior72 жыл бұрын
Recommend any other tech courses?
@bharatsuthar3974 жыл бұрын
what is procedures of admission in MIT in Mechanical engineering Master
@blackmesa2323234 жыл бұрын
The first step is to believe in yourself, the second is probably to go to the actual website and not the comment section to their open course.
@mitocw4 жыл бұрын
See mitadmissions.org for any information on admissions. Best of luck!
@WackNoir4 жыл бұрын
@@blackmesa232323 😭😂
@gmushove2164 Жыл бұрын
@@blackmesa232323😂😂😂
@DatascienceConcepts4 жыл бұрын
Great effort! Will stay tuned and hopefully create something equally useful :)
@anubala77142 жыл бұрын
Very informative
@newbie8051 Жыл бұрын
Why did this lecture feel so rushed Slides had too much information to digest, great speaker tho, was very excited about the topic
@fahnub2 жыл бұрын
very helpful
@jokerman59544 жыл бұрын
How many times before its recorded
@matiuspakpahan76124 жыл бұрын
16.38
@mehulsuthar44532 жыл бұрын
I was just wondering like is there a necessary pre requisite that we should do before taking the lecture for better understanding?
@mitocw2 жыл бұрын
The prerequisites listed in the syllabus: 18.06 Linear Algebra and familiarity with MATLAB®. See the resource on MIT OpenCourseWare for more info at: ocw.mit.edu/RES-LL-005IAP20. Best wishes on your studies!
@kaikyscot69684 жыл бұрын
When was this lecture given ?
@mitocw4 жыл бұрын
January 14, 2020
@kaikyscot69684 жыл бұрын
@@mitocw Oh Thanks...these lectures are amazing
@alisabouri89613 жыл бұрын
perfect
@ezraephrem67913 жыл бұрын
This is exactly what I needed awesome
@gunest94764 жыл бұрын
Couldn’t wish more!! 🙏Thanksss
@edmonda.97483 жыл бұрын
at 28:29, the slide says expert systems is one of the the Domingos' five-tribe ML. I kind of agree with Vijay that it is not part of ML.
@macknightxu21993 жыл бұрын
Hi, No offence. For activation function, is it some kind of luck to try out a good one? I mean it seems like trying out different functions and different params, then, ok, a better one has been found. Isn't it?
@shakeeb82902 жыл бұрын
cool.
@nagehankutuk48994 жыл бұрын
Teşekkürler MIT 👌
@mustafayasiraydin4 жыл бұрын
As bayraklari :D
@soneriftar4 жыл бұрын
a haa
@pfever4 жыл бұрын
Amazing! Thank you!
@mariadoloresferreirodesant97792 жыл бұрын
Good
@timmy181354 жыл бұрын
What is artificial cunning?
@nick183034 жыл бұрын
Timothy Morrison it’s when the robot has to sneak out the house at night without getting caught
@Spider-Man_672 жыл бұрын
Don't know why but professor "Vijay Gadepally" looks like Sundar Pichai.
@malaysiainvestment3 жыл бұрын
so good :)
@mohammadsabbir13702 жыл бұрын
yeah
@garnifa14 жыл бұрын
Hot to get the slides?
@mitocw4 жыл бұрын
Visit ocw.mit.edu/RES-LL-005IAP20 for all the materials. Best wishes on your studies!
@pawanchopra66794 жыл бұрын
Good chunk of video Lecture on AI and ML. can I get presentation for the Lecture.
@mitocw4 жыл бұрын
See the course on MIT OpenCourseWare for the materials at: ocw.mit.edu/RES-LL-005IAP20. Best wishes on your studies!.
@handymanatworkАй бұрын
Black out?😢
@enasmasoud49092 жыл бұрын
good can you send this lecture to me ?
@Fundoo056 ай бұрын
Hello
@Heavenly_Acceptance3 ай бұрын
I’m here in 2024❤
@marquesturner712 жыл бұрын
🔥🔥🔥🔥
@ganjubas6674 жыл бұрын
рахмет
@td-jf2lp2 жыл бұрын
Neredeyse hiç kimse yok.
@christophergaspar65204 жыл бұрын
how do i get the slides??
@mitocw4 жыл бұрын
See ocw.mit.edu/RES-LL-005IAP20 for the lecture notes.
@christophergaspar65204 жыл бұрын
@@mitocw thank you
@alialshafie-technology95943 жыл бұрын
Wow
@sigma_talks51752 жыл бұрын
one more indian instructor here..
@ROSHANYADAV-bq1pt2 жыл бұрын
IT SUCKS ME WHEN BRILLIANT ENGINEERS GO AND SETTLE IN USA RATHER THAN MAKING INDIA GREAT AGAIN.
@Obelixlxxvi2 жыл бұрын
Going by his accent he might be a 2nd gen. born there.
@Kevin-cy2dr2 жыл бұрын
@@Obelixlxxvi nope he graduated from IIT Kanpur with a bachelors in electrical engineering and did masters and phd from Ohio State.