Lecture 01 - The Learning Problem
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- Опубликовано: 27 авг 2012
- The Learning Problem - Introduction; supervised, unsupervised, and reinforcement learning. Components of the learning problem. Lecture 1 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - itunes.apple.com/us/course/ma... and on the course website - work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, creativecommons.org/licenses/b...
This lecture was recorded on April 3, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Anyone watching in 2024?
I encourage people to watch this lecture at 1.25x speed.
Very proud of my country Egypt and of the brilliant prof: Yaser
This is what I call "A real Professor" , congratulations.
33 people are misclassified.
I have gone through many courses attempting to learn machine learning (no pun intended), and this one is definitely the best. 10/10
Me who learming in 2024 damn This a good lecture than my lecturer which I pay Lakhs of fees
Where are my Turkish comrades?
2024 this guy was talking about the future
Anybody else having issues with audio, where the audio cuts temporarily?
Can you imagine this material was on RUclips since 2012! Thanks Caltech and professor Yaser for making it free.
Prof. Yaser is a great teacher!!
The professor explains everything so clearly! The video and audio have high quality! The questions asked by the students have high quality!
In 2022 still I find his way of teaching way more informative rather than any recourses online or at Uni . great job
2021, and still it's a diamond. Kudos to the teacher.
this guy knows a lot about a lot, you can tell by the confidence with which he navigates the subject and how he is aware of the limits of the theory
Meus sinceros agradecimentos aos tradutores, ao caltech e ao professor. Conteúdo de qualidade e gratuito.
Wow, I could not find any other resource that explained the intuition behind using the inner product. What a great teacher.
Crystal clear exposition! This is the best intro to ML I have seen on YT.
Yaser, you are not just a scientist but also an amazing teacher -- your students must be lucky to have you!