MIT OpenCourseWare
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016
View the complete course: http://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 http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
Source
Follow this video for more understanding https://youtu.be/fGVaQunoDiQ
Nice AI intro.
Excellent training, Thank you
The professor mentioned "Ch 22" in a book. What book is the class using?
A very nice introduction. Thanks to Prof. Eric!
He started AI in 1975!!!!! My mother wasn't born then.
The professor mentioned "Ch 22" in a book. What book is the class using?
This is awesome! Thank you MIT.
Will definitely make a donation to MIT after I got my dream job.
amazing… thank you sir.
Rufus sixmith are you still alive
Prof. Grimson wears the same shirt and pants from the beginning of 6.0001 to the end of 6.0002
If there is anything I can be truly thankful for, it's education made available for free, especially from MIT.
seven layers of protocol: application layer…etc,.
stack, queue, linked list,…etc.
top-down approach, bottom-up approach, dynamic programming,…etc.
round robin search
Thanks too much
Great Explanation. Thanks
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The professor is looking in the book and teaching
Can someone please post a link to the book he refers to.
Is this better than Andrew ng course?
Wonderful introduction to machine learning. Very accessible and inspiring.
One slight correction. Frogs are ectotherms (cold-blooded)
Too bad ther’s not much evolution classes in MIT’s Computer Science program so Prof. Grimson can see why chicken fit the reptile’s model…
What are the prerequisites?
His voice could be a good voice for movie narration like what Morgan Freeman does.
Gotta donate to MIT when I get a job really helpful video. Thanks!
What does he mean by the choice of using distance of voters from Boston not being accidental at 46:45 – 46:55
If there any machine capable of …creating it's own Evolution Matrix then that machine has its own self !!! …I guarantee that MIT don't understand Evolution Matrix code !!
05:18 Mobileye are actually an Israeli company and got nothing to do with MIT…
That's really instructif D:
That's really instructif D:
That's really instructif D:
if you want to learn more things about that subject please visit.
https://www.youtube.com/watch?v=24trMgrSzCk
This course has no doubt triggered many sapless dolts.
I originally wanted to masturbate,but here I am learning ML
Excellent Prof.
God bless mr. Grimson
Since 2016 long time no see! E learning, youtube learning googling learning my bookmarks my informations my ideas my approach my life hacks my diy my inspirational informations
This is more of linear regression
👍👍👍👍👍
I like it! Super! Keep Going!
Can this course used by a beginner in ML
Boy, tough crowd. Grimson is excellent.
Which book was mentioned at 1:50?
I can listen to this teacher 100 hours continuously. the way he spread words and his character.
Oh this handsome gentleman taught me Python, thank you MIT for such a great content!
30:59 "oh come on. at least groan at me" :'/
A machine learning algorithm takes me to a machine learning course D:
The professor mentioned "Ch 22" in a book. What book is the class using?
I thank MIT for uploading such a valuable videos to the world.
thanks to MIT — very interesting course
Nice voice and clear articulation
The instructor is a gem of a person.
5/5
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What if the machine isn't actually learning, but carrying out many steps by rote very quickly?