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: www.youtube.com CS 229 Course Website: www.stanford.edu Stanford University: www.stanford.edu Stanford University Channel on youtube: www.youtube.com
I cannot convey how grateful I am that an academic institution of the stature of Stanford is generous enough to offer fascinating information like this for free. Cheers!
i hope not all examples are similar to tumor sizes and their malignancy rates.
umm… umm…
great lecture
NOTE: skip to 31:30 if you’re here to learn about machine learning.
31:30? Good God.
Thanks.
orm.. orm.. orm…
Great job! Thanks alot to Stanford and thier stuff but I have a small suggest which added subtitles to the video because there are alot of international students who dont understand some words without subtitles. Thanks alot
Professor Ng is so great.
thanks.!!
Dr Ng mentions that we can find the review classes for the prerequisites online. Where are they posted?
wow the guy has a personality for a wang
does he mean AI instead of “machine learning”???
“Machine learning” is basically when a machine is able to improve it’s AI on it’s own.
Isn’t AI equal to machine learning?
@Compact3
Not exactly,
AI is just the computer following certain instructions based on predefined circumstances, but machine learning is when the machine starts to learn from its mistakes and don’t make them a second time. (or something like that )
No.
but still better than yours fella!
fucking chines dog eater! Piss off bro, White supremacy!
Machine learning used to be called “statistical pattern recognition” but a more vague and impressive sounding title probably attracts more funding. AI has a slightly different meaning than machine learning but this comment is too brief to go into detail, google is your friend.
thanks for posting!
I would just like to echo another “Thank You”.
Thankyou!! fantastic post!! will be watching them all – and looking out for more
I’m wondering why I spent so much money on a university degree -_-
Will be watching them all. Thanks for uploading these great classes!
Thanks for posting all these awesome lectures guys!
thanks for posting this nice video , it really help me in understanding of machine learning!