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Title: Lecture 1 | Machine Learning (Stanford)
Added: Jul 22, 2008
Author: StanfordUniversity
Duration: 68:40
Description:
Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng provides an overview of the course in this introductory meeting. This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.Complete Playlist for the Course:http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599CS 229 Course Website:http://www.stanford.edu/class/cs229/Stanford University:http://www.stanford.edu/Stanford University Channel on YouTube:http://www.youtube.com/stanford
Related Videos:
Videos related to 'Lecture 1 | Machine Learning (Stanford)'
Channel: Education
Tags: science math engineering computer technology robotics reinforcement supervised learning algorithm machine image processing ica theory programming code
science math engineering computer technology robotics reinforcement supervised learning algorithm machine image processing ica theory programming code
Youtube Comments: 199
shrit110 Says:
Oct 22, 2011 - watch after 32:00
WSWarthog Says:
Nov 2, 2011 - @gelliravikumar018 Wish your comment was at the top.
lightandbeautiful Says:
Nov 2, 2011 - Please visit my channel for the unpopular truth about homosexuality.A person does not need hatred or any kind of phobia in order to acknowledge important differences between heterosexual attraction / behavior / marriage / adoption and homosexual attraction / behavior / marriage / adoption. Even non-religious people know this.Homosexual activists, with support from the media, have successfuly framed themselves as noble victims; it's an effective way to push a social agenda.
wuyanchu Says:
Nov 3, 2011 - thx and god bless.a sincere blessing from hong kong.^_^
Leonid05 Says:
Nov 4, 2011 - @lightandbeautiful what is the site? you didndt leave the link
sherifportrait Says:
Nov 5, 2011 - 142109731521074241 umm :/
thebigfootme Says:
Nov 15, 2011 - very technical..i didnt understand some of it..but this is a great lecture!
ShNaYkHs Says:
Nov 16, 2011 - Great lecture, well explained, I enjoyed it.
kagebunshin088 Says:
Nov 23, 2011 - Great lecture. But i noticed this was uploaded in 2008. are there any videos for the latest course taught in stanford?
KyouJinSaMa Says:
Nov 25, 2011 - if i got a dollar for every "umm" he said i would've kicked Bill Gates off the charts~~
jacf1020 Says:
Dec 6, 2011 - Thanks for the lecture Standford. I wish you guys could get rid of the chalk boards
Alternativerealm Says:
Dec 7, 2011 - Um!
GeekProdigyGuy Says:
Dec 11, 2011 - If I had a dollar for every idiot who commented about "um" who are apparently incapable of realizing that this man is paid to pass on useful knowledge, not make speeches, then I would have more money than the sum of all those idiots' actual wealth in real life.
cmwslw Says:
Dec 22, 2011 - Chill out with the 'um' complaints. English isn't his first language and he's probably a lot smarter than you. Thanks for the free info, Stanford.
callmeweezy Says:
Jan 3, 2012 - I stopped watching when he said infinite dimensional space. O_o
bloodrain8900 Says:
Jan 10, 2012 - Please don't skip the video.There is a nice discussion on why, how and what machine learning is all about. Basically, a good introduction.So if anyone is planning to watch all 20 videos. I suggest you guys watch everything from00:00Oh and also, you can get more details about this course from here,see.stanford.edu/see/courses.aspx
queerriot Says:
Jan 12, 2012 - If you liked this, see stanfords online course at ml - class dot org
gauravbasu98 Says:
Jan 17, 2012 - i was wondering are the robots self aware??
ggonlinemusic Says:
Jan 21, 2012 - @cmwslw Native English speakers don't use "um"?!? If one truly listens how he enunciate each word, one would know he actually speaks "English"!
bizso09 Says:
Jan 29, 2012 - New version of this class at classx.stanford.edu/ClassX/system/users/web/pg/view_subject.php?subject=CS229_FALL_2011_2012&cxm=1
sdenkasp Says:
Feb 1, 2012 - Learning from very far away....Thank you Stanford !...from the Peruvian Andes :)
shrit110 Says:
Oct 22, 2011 - Good lecture . It's better if if we can read all course materials