11. Introduction to Machine Learning
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016
View the complete course: ocw.mit.edu/6-0002F16
Instructor: Eric Grimson
In this lecture, Prof. Grimson introduces machine learning and shows examples of supervised learning using feature vectors.
License: Creative Commons BY-NC-SA
More information at ocw.mit.edu/terms
More courses at ocw.mit.edu
Пікірлер: 439
If there is anything I can be truly thankful for, it's education made available for free, especially from MIT.
@hanumareddy5431
4 жыл бұрын
LJ
@yt-sh
4 жыл бұрын
true that
@vikatsybko4484
4 жыл бұрын
Just remember, it is not free for them, someone pays for it to be available for us. So the best gratitude is a donation :)
@alekseibuinyi
2 жыл бұрын
@@vikatsybko4484 haha, nice joke)
*My takeaways:* 1. What is machine learning 8:13 2. How are things learned 9:55 3. Supervised learning and unsupervised learning 13:55 4. Clustering 15:01 5. Feature engineering 25:35 6. Minkowski metric: Manhattan distance and Euclidean distance 34:19 7. Classification example 43:42 - Confusion matrix and accuracy 46:50 - Other measurements: positive predictive value, sensitivity and specificity 49:25
@maybe9357
3 жыл бұрын
Thank you
@leixun
3 жыл бұрын
Kartik Verma you’re welcome
@madylal
2 жыл бұрын
Very helpful
@leixun
2 жыл бұрын
@@madylal Welcome to check out my research on my channel.
@madylal
2 жыл бұрын
@@leixun link please?
Will definitely make a donation to MIT after I got my dream job.
@artofexistance
4 жыл бұрын
Me and you both brother
@fuckyoutubeusernamechange
3 жыл бұрын
@@artofexistance Me too
@semtex6412
3 жыл бұрын
how far along are you now?
@memecombine
3 жыл бұрын
@@semtex6412 he works at pied piper now
@semtex6412
3 жыл бұрын
@@memecombine 😂😂
I thank MIT for uploading such a valuable videos to the world.
This is awesome! Thank you MIT.
A very nice introduction. Thanks to Prof. Eric!
This course is the BEST I’ve ever seen/heard explaining the concepts of Machine Learning/Deep Learning. Just simply awesome. MIT students are really lucky to have this professor. Makes me wish to be a college student again :-)
@karthin8017
2 жыл бұрын
If I had been taught by professors such as this, I wouldn't have dropped out of college
@amine5169
Жыл бұрын
@Raymond Reddington Facts
@Asdfgadv33423
Жыл бұрын
@@karthin8017 It's your fault, not the professors. Go back to University and finish it
Sir good evening , I am not related to this subject but your way of explaining subject matter is excellent .You are lecturer from top most institute in the world so I love to watch way of teaching process , methods and dealing with subject topics.your attitude and way of dealing contents is Very simple.Congratulations sir..
God Bless MIT
@fariss9743
7 жыл бұрын
God Bless KZread!! :)
@Nizchul
7 жыл бұрын
God Bless Internet! :D
@VivekSolankiAqua
7 жыл бұрын
God Bless "Electricity/Battery" :-P
@robroux6074
6 жыл бұрын
you mean the Institute.
@ManojKumar-mf6mu
6 жыл бұрын
god bless big bang
I can listen to this teacher 100 hours continuously. the way he spread words and his character.
@sreedharks
5 жыл бұрын
me too Nicola
@satyapriyapanda8765
3 жыл бұрын
Very lucid, amazing way of expression and course content is very practical.
Brilliant teachers in MIT. I envy the students in this department.
i think that eric is a tremendous teacher; really enjoy watching him explain stuff
Prof. Grimson is the best Professor ever.
@matiasrisso5917
3 жыл бұрын
I completely agree. I've done his Intro to Computational Thinking course and it's been amazing, so clear and practical.
I thank MIT, Prof Grimson, Prof Guttag, for the top quality, best and free lectures!
A phenomenal professor who also makes learning fun. This is lecture number 11, which means that there are more lectures under this course, but I couldn't find the entire playlist on the channel.
@mitocw
Жыл бұрын
kzread.info/head/PLUl4u3cNGP619EG1wp0kT-7rDE_Az5TNd
I thank MIT for uploading such a valuable videos to the world. Will definitely make a donation to MIT after I got my dream job. I can listen to this teacher 100 hours continuously. the way he spread words and his character.
@sololife9403
Жыл бұрын
could you explain more about :' the way he spread words and his character.' I like the way of him: calm, clear
@paulushimawan5196
Жыл бұрын
Prof. Eric Grimson is one of the world's best lecturer.
@leodexter191
2 ай бұрын
Is it 100% beginner friendly ?
This is so exceptional and simplified, am so grateful for this.
Excellent, clear, granular fit as an intro. I hope to be able keep pace as a newbie. Many thanks.
Brilliant. This is probably the best lecture on ML.
Excellent course and highly competent Professor! Thank you for sharing it online for free MIT, it really improved my fundamental understanding of machine learning.
blessed to have this free content. Thank you so much!
The instructor is a gem of a person.
Gotta donate to MIT when I get a job really helpful video. Thanks!
MIT classes, available for all, free for all, anywhere around the world. What a time to be alive.
Now I feel confident, I can learn Machine Learning. Thank you Sir.
I don't always like his sense of humor but this is an excellent lecture by professor Eric Grimson
Why I waisted my time on other video, when Prof. Eric is here.I am taking Andrew 's ML course and there I couldn't really understand overfitting and Prof. Eric very simply explains a hard idea with a nice example of Python and Cobra. Love U Prof. Eric :)
What an amazing professor🙌
Oh this handsome gentleman taught me Python, thank you MIT for such a great content!
@ariansergi7929
4 жыл бұрын
hey would you please send a link where you learned python from him. :)
@svktejasvi
4 жыл бұрын
@@ariansergi7929 I guess it should be: courses.edx.org/courses/course-v1:MITx+6.00.1x+2T2018/course/. I learnt from there too. Absolutely inspiring course!
@anycatdessai
3 жыл бұрын
Me too. On the Edx course.
@winsmen009
2 жыл бұрын
Me too! Loved his delivery of the course. Great professor! :)
Wonderful introduction to machine learning. Very accessible and inspiring. One slight correction. Frogs are ectotherms (cold-blooded)
This is the best explanation I've ever seen about this topic
I'm glad I take such an insightful lecture. It was much easier to understand than the ones I've taken at my university. It covered the basic and fundamental concepts of machine learning in a way that beginners can grasp. Thank you for uploading.
Beautiful lecture. I was hooked the whole time.
Yes, This is what i was waiting for!
Thank you, Professor Grimson. I appreciate the MIT OCW and I am doing a pseudo MIT challenge for myself.
This is how you teach students! awesome explanations. without the explanation of the fundamental terminologies as he is doing here, machine learning becomes boring to learn
Always interesting, Great job! Thank you for sharing
Professor Grimson is the best!
absolutely astonishing lecture!
First read Bernard Lonergan's masterwork "Insight": 'Thoroughly understand what it is to understand, and not only will you understand the broad lines of all there is to be understood but also you will possess a fixed base, an invariant pattern, opening upon all further developments of understanding.'
Thanks, SO happy to learn from MIT open courses
What an amazing video. So easy to understand. Thank you so much!
This is GOD level content. Wow! I want to salute this man for explaining complex ideas in such simple terms. No wonder MIT grads learn so well :( I can only wish.
@kosterix123
4 жыл бұрын
I'm not that impressed. It does say what teaching quality you experienced btw. USA?
@OEFarredondo
4 жыл бұрын
Kosteri x we lead the world in cheeseburgers.
@ramakanthrama8578
3 жыл бұрын
@@kosterix123 No, India. Hope you understand why now.
@krishivagarwal5189
2 жыл бұрын
@@ramakanthrama8578 India has some of the best teachers in the world, sadly they can't teach everyone one. Most teach in expensive private schools now or somewhere like IIT which has incredibly benefits for professors and researchers.
God bless mr. Grimson
Excellent professor! Thanks for sharing this video.
A machine learning algorithm takes me to a machine learning course D:
@saifnoorprottoy
6 жыл бұрын
Diego Solis 😂😂
@ShinjiCarlos
5 жыл бұрын
Oh! Gosh!!! D: That is the proof of a conspiracy! Get those machines arrested! hahahahaha
@280alex
5 жыл бұрын
It wants to learn MOREEE
@complex5372
5 жыл бұрын
The machine is trying to reproduce!
@rkalla
3 жыл бұрын
LET IT LOVE YOU!
Thanks MIT, THANKS ERIC!
Mit gerçekten affetmiyor abi muazzam bir anlatım
Excellent training, Thank you
Excellent lecture
When I was at university I learned to write Polymorphic code in C++. We then used Polymorphic code to write worms that would change the payload based on the system environment and vulnerabilities on that system. The actual application would change depending on the environment and the payload would be different for each environment. Given this definition, we was writing early ML programs back then.
Thanks Eric, you are greatly appreciated :)
Sounds related to how we developed probability and statistics sums and formulas
Good Sir, you know your stuff--well done! 👏
Thanks a lot, MIT ocw for providing these amazing courses for free!
Can't believe this is free. Awesome!!
seven layers of protocol: application layer...etc,. stack, queue, linked list,...etc. top-down approach, bottom-up approach, dynamic programming,...etc. round robin search
No wonder an MIT professor!! He lives up to his title. Good job!!
GOD BLESS YOU SO MUCH.
Siddharth Sankhe, Director, Consumer Insights, Nielsen talks about magnifying customer connections on Engati CX. He says that with the on going pandemic the economy has shrunk this is where CX comes into play and it will a very big and an important differentiator. @VSXY
Thank You MIT
Good explanation . I really understand his explanation
Thank you very much for bringing us free online education, and special thanks to MIT, God Bless you
This is insightful, thanks for sharing 👍
Boy, tough crowd. Grimson is excellent.
Exceptional explanation!
@suryateja_1902
3 жыл бұрын
True that..!
@johnthebeloved6598
3 жыл бұрын
Second that!
@mohamedfouzibenreguia8343
2 жыл бұрын
Third that!!
@rashi3502
2 жыл бұрын
Four that
@osamanadeem671
2 жыл бұрын
fifth that
amazing... thank you sir.
That was really awesome.
Awesome. Thank you, Sir.
Amazing class!
Nice voice and clear articulation
Excellent course, thank you.
Thanks sir becoz of u i got my point
This was great thanks for sharing.
Tough crowd. Great job, professor!
@mossadismoslembtw1704
5 жыл бұрын
Shaggy
I am very interested in machine learning but I feel like this course is above my scope of knowledge so far. Is there a course posted that would be a good introduction to the introduction to machine learning?
Excellent Prof.
The way u teach is ❤❤
Very well explained!
what a wonderful lecture
Thank you Prof. Jack Nicholson!
Thank you MIT
Great explanation
This guy was born to explain things
One comment on a part of the lecture that sounded counterintuitive to me. In the football example (42:27) he was arguably working with four different types of football players, but professor Grimson was rejecting working with four clusters, being afraid of overfitting, in stead choosing three, while he was clearly aware of there being four different types of football players. I would have chosen four clusters to reflect the four different types of football players and start from there.
awesome class
So far the best ML courses are this one (Eric's MIT), Andrew Ng's Stanford or coursera and Yaser Abu Mostafa of Caltech
i find this lecture much much better ..(never mind the "than" part) :)
welcome back
Would like just to add program as input to the figure on 8'30" and output model instead of program, because the very task of ML is to write such program actually and deliver a model, far before packing it into another program. Please correct if this is wrong... :)
MIT thank You for sharing this for FREE! This is unbelievable that we live at the times when we can learn such things for free! Sad that most people are choosing tiktok instead of this knowledge
That was an awesome lecture on Machine Learning. No wonder MIT tuition is so expensive ; )
Really insightful
An update: this excellent course now available on EdX at www.edx.org/course/introduction-computational-thinking-data-mitx-6-00-2x-6 You can audit it free, or get it marked and get a diploma for something extremely low, USD$49 now, and likely to be under $149 if you're reading this in a couple of years. The EdX, Udemy, etc. effort is still pretty crude -- but it's a step up from just watching the videos. (The videos are available alongside, so it's sorta KZread Greek Amphitheatre Plus Plus, or MIT OCW struggles into the 1980's. Gettin' there...)
20:40 Isn't it a better idea to draw a linear line through the data, and the perpendicular to that line would be the "dividing line" ?
excellent explanation
I am looking for the playlist for all the courses associated with Introduction to Computational Thinking and Data Science. Could anyone share a link? Thanks
Thank you.
Great presentation; but next time the camera operator needs to focus more on the slides rather than the presenter. This way we can visually relate to what the presenter is saying. Anyways thanks to the prof for the great presentation!
Thank you!