Dear Prof. Andrew Ng, Thank you for putting these interviews up. I am pretty sure I would not have had the time/place to ask these question to these heroes (which I dreamt of). Thank you for posting this interaction. Among all the noise, I get a signal towards my goal by watching these videos.
Professor Ng seems like such a lovely person. In all of the videos i see of him he always has a smile on his face. He seems truly passionate about machine learning and educating people about the topic because he sees it as extremely important to the world. I am grateful that people like him exist.
Definitely fascinating conversations! Lots to learn here. Interesting to hear the responses of the various experts to similar questions and gets a sense of what makes a difference and what does not. Looking forward to the time that all of the interview videos are themselves fed into a sophisticated ML/DL environment and then asking that meta-ML questions :-) One area I believe is peripherally addressed but could use much more attention is the idea of Machine Discovery.
Dear Prof. Andrew Ng, Thank you for putting these interviews up. I am pretty sure I would not have had the time/place to ask these question to these heroes (which I dreamt of). Thank you for posting this interaction. Among all the noise, I get a signal towards my goal by watching these videos.
Professor Ng seems like such a lovely person. In all of the videos i see of him he always has a smile on his face. He seems truly passionate about machine learning and educating people about the topic because he sees it as extremely important to the world. I am grateful that people like him exist.
It's amazing to see the ML heroes of our time converse!
Currently reading his book "Deep Learning" and I love it!
The icône of deep learning, thank Andrew for making all these superheroes videos.
Thank you for these videos! they are a very insightful resource on the history and current front of AI.
Definitely fascinating conversations! Lots to learn here. Interesting to hear the responses of the various experts to similar questions and gets a sense of what makes a difference and what does not. Looking forward to the time that all of the interview videos are themselves fed into a sophisticated ML/DL environment and then asking that meta-ML questions :-)
One area I believe is peripherally addressed but could use much more attention is the idea of Machine Discovery.
It's interesting to get insights from the experience of AI pioneers like Yoshua Bengio.
At 23:41, Bengio mentioned about what conference?
Howard Yanxon ICLR >> www.iclr.cc/