5 ms·

The wonderful and terrifying implications of computers that can learn

9 points by jph00 12y ago

jph00 12y ago
I'm the speaker from this TEDx talk (and Enlitic CEO / Kaggle Past President) - happy to answer any questions or respond to any comments about it here. Sorry for some rather extreme simplifications in the talk... I only had 18 mins to cover a lot of territory!
gradschool 12y ago
Thanks for this interesting talk and best wishes for the success of your company. Here are a few questions it raised for me. What references would you recommend for someone who wants to know more about machine learning algorithms from a technical point of view? Does the coming economic upheaval you envision with its exponential growth depend on the assumption that machine learning will be applied to the design of computers themselves? The reason I ask is that the applications you demonstrated concentrate on pattern classification, which doesn't seem to me like it would be much help for the work of electrical engineers and computer scientists (albeit a game changer in other fields). Are you aware of any evidence to the contrary?
- jph00 12y ago
  I would start with the Intro to Machine Learning Coursera course, and then the Intro to Neural Networks course. That will get you to a point that you can understand current papers. The demo I showed actually showed that it's possible to design an algorithm in minutes that previously would have taken years, but combining machines and people. So I do strongly believe that machine learning allows us to create new, better, programs more quickly than before!
akashtndn 12y ago
My query deals with the social implications you mentioned at the end of your talk. Are we, as a society, equipped to deal with the changes the surge in computational efficiency deep learning is about to bring when a large portion, including the policy-makers, aren't even able to properly acknowledge them? Can you expand on your last slide's point where you mention that "better education" won't help in dealing with the upcoming upheaval?

9 points by jph00 12y ago

jph00 12y ago

I'm the speaker from this TEDx talk (and Enlitic CEO / Kaggle Past President) - happy to answer any questions or respond to any comments about it here. Sorry for some rather extreme simplifications in the talk... I only had 18 mins to cover a lot of territory!

gradschool 12y ago

Thanks for this interesting talk and best wishes for the success of your company. Here are a few questions it raised for me. What references would you recommend for someone who wants to know more about machine learning algorithms from a technical point of view? Does the coming economic upheaval you envision with its exponential growth depend on the assumption that machine learning will be applied to the design of computers themselves? The reason I ask is that the applications you demonstrated concentrate on pattern classification, which doesn't seem to me like it would be much help for the work of electrical engineers and computer scientists (albeit a game changer in other fields). Are you aware of any evidence to the contrary?

jph00 12y ago
I would start with the Intro to Machine Learning Coursera course, and then the Intro to Neural Networks course. That will get you to a point that you can understand current papers. The demo I showed actually showed that it's possible to design an algorithm in minutes that previously would have taken years, but combining machines and people. So I do strongly believe that machine learning allows us to create new, better, programs more quickly than before!

akashtndn 12y ago

My query deals with the social implications you mentioned at the end of your talk. Are we, as a society, equipped to deal with the changes the surge in computational efficiency deep learning is about to bring when a large portion, including the policy-makers, aren't even able to properly acknowledge them? Can you expand on your last slide's point where you mention that "better education" won't help in dealing with the upcoming upheaval?