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 …
Related posts:
- Lecture 7 | Machine Learning (Stanford) Lecture by Professor Andrew Ng for Machine Learning (CS...
- Lecture 2 | Machine Learning (Stanford) Lecture by Professor Andrew Ng for Machine Learning (CS...
- Lecture 4 | Machine Learning (Stanford) Lecture by Professor Andrew Ng for Machine Learning (CS...
- Lecture 11 | Programming Abstractions (Stanford) Lecture 11 by Julie Zelenski for the Programming Abstractions...
- Lecture 4 | Programming Methodology (Stanford) Lecture by Professor Mehran Sahami for the Stanford Computer...
Related posts brought to you by Yet Another Related Posts Plugin.













{ 25 comments… read them below or add one }
Dr Ng mentions that we can find the review classes for the prerequisites online. Where are they posted?
Professor Ng is so great.
thanks.!!
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
orm.. orm.. orm…
31:30? Good God.
Thanks.
NOTE: skip to 31:30 if you’re here to learn about machine learning.
umm… umm…
great lecture
i hope not all examples are similar to tumor sizes and their malignancy rates.
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!
Thanks a lot for offering the course on Youtube. I really really appreciate it.
It seems very useful and it will give me an opportunity learning something valuable for free!!
I think his accent is fine! Not perfect but it’s really fine.
First of all thanks to Stanford for uploading these videos.
Sorry but it very difficult to follow his accent,
many times I say “what is he saying?”
it starts at 33:00 lol
cheers to university’s offering thier courses online free as many of us cannot either afford classes or take time off work to go to school
The 200-series courses at Stanford are marked as “advanced undergraduate/beginning graduate”.
thanks for sharing the amazing series
One should not watch too many movies…
wat the heck this thing just apeeared out of nowhere on me channel
Oh no, argument by design again? What “creator” could you be talking about?
Is this course undergrad or graduate at stanford?
Thanks stanford for sharing these great courses!
sorry
read
Don’t laugh at this! Just do it
Start thinking something you really really want cause this is
astounding the person that sent this to me said their wish came true 10
mins after they read the mail so I thought what the heck
You have just been visited by DrSuess’s Cat in the Hat. He will grant
you
one wish
Make your wish when the count down is over
10,9,8,7,6,5,4,3,2,1
MAKE A WISH
Send this to 10 videos within the hour you read this.
If you do, your wish will come true
tools are meant to make our life simpler. “Teaching” machines to “learn” will not give it consciousness, instead it will even make us realize more the complexity of our mind and the power of the creator who designed it. If you disagree with machine learning, then you would be seeing profane words here in you tube, no software would keep me from telling you that you’re such a closed-minded ignorant!
I Love this
rollthetape88!
Also see my YouTube site & receive FREE Gift Cards!
machines shouldn’t learn, machines are tools. haven’t you seen T2. Stop with the god-complex to create consciousness.