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Machine Learning is in my bucket list of things to focus on at some point in my life, just like many of you. I know it's a bit off topic, does anyone of you kn

Machine Learning is in my bucket list of things to focus on at some point in my life, just like many of you. I know it's a bit off topic, does anyone of you know any practical resource that teaches ML while creating some kind of robot with AI? Thanks in advance.

vonnik 11y ago
Sebastian Thrun teaches a course called AI for Robotics on Udacity: https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373 https://www.udacity.com/course/artificial-intelligence-for-r...
- tgflynn 11y ago
  I took that class several years ago and it was definitely not about machine learning, mostly mapping/localization and route planning. It was a good class but the claim: "Learn how to program all the major systems of a robotic car" is vastly overblown. That would only be true if things like traffic sign recognition and pedestrian detection are not considered major systems of a robotic car.
argonaut 11y ago
To address what you and tgflynn are saying. Machine learning != robotics. Robotics is mostly probabilistic inference / search, control theory, etc. The Sebastian Thrun course actually looks great - for robotics. Even computer vision is mostly not related to machine learning. And when machine learning is used, it has usually been simpler, faster "dumber" algorithms. Deep learning has only recently made advances in computer vision and robotics - it's still definitely an open area of research. Even in production it's only going to be a component of a larger system. I would bet the vast majority of the work in Google's self-driving car is related to probabilistic inference / mapping / search / feature-engineering, and mostly does not involve machine learning.
- tgflynn 11y ago
  The future of both computer vision and robotics is in machine learning, that is where the state of the art will advance. No autonomous vehicle that isn't integrally dependent on machine learning algorithms will ever hit the market, unless the entire road system is redesigned and human drivers are outlawed.
  - argonaut 11y ago
    Maybe. Maybe not. Impossible to tell. People were saying this about SVMs and kernels 10 years ago (which, by the way, is why it's important to have a broad knowledge of probability and machine learning).

vonnik 11y ago

Sebastian Thrun teaches a course called AI for Robotics on Udacity: https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373 https://www.udacity.com/course/artificial-intelligence-for-r...

tgflynn 11y ago
I took that class several years ago and it was definitely not about machine learning, mostly mapping/localization and route planning. It was a good class but the claim: "Learn how to program all the major systems of a robotic car" is vastly overblown. That would only be true if things like traffic sign recognition and pedestrian detection are not considered major systems of a robotic car.

argonaut 11y ago

To address what you and tgflynn are saying. Machine learning != robotics. Robotics is mostly probabilistic inference / search, control theory, etc. The Sebastian Thrun course actually looks great - for robotics. Even computer vision is mostly not related to machine learning. And when machine learning is used, it has usually been simpler, faster "dumber" algorithms. Deep learning has only recently made advances in computer vision and robotics - it's still definitely an open area of research. Even in production it's only going to be a component of a larger system. I would bet the vast majority of the work in Google's self-driving car is related to probabilistic inference / mapping / search / feature-engineering, and mostly does not involve machine learning.

tgflynn 11y ago
The future of both computer vision and robotics is in machine learning, that is where the state of the art will advance. No autonomous vehicle that isn't integrally dependent on machine learning algorithms will ever hit the market, unless the entire road system is redesigned and human drivers are outlawed.
- argonaut 11y ago
  Maybe. Maybe not. Impossible to tell. People were saying this about SVMs and kernels 10 years ago (which, by the way, is why it's important to have a broad knowledge of probability and machine learning).