This AI Boom Will Also Bust
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This AI Boom Will Also Bust
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Re: This AI Boom Will Also Bust
#2> Good CS expert says: Most firms that think they want advanced AI/ML really just need linear regression on cleaned-up data.
Cleaning up data is very expensive. And without that, the analysis is good for nothing. AI helps provide good analysis without having to cleaning up data manually. I don't see how that is going away.
Re: This AI Boom Will Also Bust
#3I plan to enter a PhD program in 1-2 years to specialize in ML/Deep Learning. Assuming it'll take 5-6 years to complete my degree how applicable should my skill sets be in industry at that point?
Re: This AI Boom Will Also Bust
#4> Good CS expert says: Most firms that think they want advanced AI/ML really just need linear regression on cleaned-up data. Cleaning up data is very expensive. And without that, the analysis is good for nothing. AI helps provide good analysis without having to cleaning up data manually. I don't see how that is going away.
i would say that this is one of the main advantages of ML. You can even use it to process unstructured data.
Re: This AI Boom Will Also Bust
#5This article matches what I've been seeing anecdotally (especially at smaller tech firms and universities in the Midwest US).
I've been hearing more folks in research and industry express the importance of applying simpler techniques (like linear regression and decision trees) before reaching for the latest state-of-the-art approach.
See also this response to the author's tweet on the subject: https://twitter.com/anderssandberg/status/803311515717738496
Re: This AI Boom Will Also Bust
#6I plan to enter a PhD program in 1-2 years to specialize in ML/Deep Learning. Assuming it'll take 5-6 years to complete my degree how applicable should my skill sets be in industry at that point?
No one can tell you for sure, if it's your passion do it, if you're hoping for a big payday, I'd reconsider.
Re: This AI Boom Will Also Bust
#7I plan to enter a PhD program in 1-2 years to specialize in ML/Deep Learning. Assuming it'll take 5-6 years to complete my degree how applicable should my skill sets be in industry at that point?
If you are aiming at the industry, I would say getting a research-oriented master's degree is much more cost-effective. Besides you can always learn the skills you need in your work.
Re: This AI Boom Will Also Bust
#8I plan to enter a PhD program in 1-2 years to specialize in ML/Deep Learning. Assuming it'll take 5-6 years to complete my degree how applicable should my skill sets be in industry at that point?
No one can tell you for sure, if it's your passion do it, if you're hoping for a big payday, I'd reconsider.
I don't actually think that's true, if the "AI bubble" bursts at some point in the near future, the people who'll be in trouble with be those without formal education to back them up.
Re: This AI Boom Will Also Bust
#9> Good CS expert says: Most firms that think they want advanced AI/ML really just need linear regression on cleaned-up data. Cleaning up data is very expensive. And without that, the analysis is good for nothing. AI helps provide good analysis without having to cleaning up data manually. I don't see how that is going away.
Not only is cleaned up data expensive, dirty data is expensive! Clean data pipes are now and will be increasingly really interesting businesses IMO.
Re: This AI Boom Will Also Bust
#10> Good CS expert says: Most firms that think they want advanced AI/ML really just need linear regression on cleaned-up data. Cleaning up data is very expensive. And without that, the analysis is good for nothing. AI helps provide good analysis without having to cleaning up data manually. I don't see how that is going away.
how so?
Practically speaking isn't unsupervised learning one of the areas that hasn't really shown much practical application?
I mean, if I'm wrong point me to some examples, but I was under the impression cleaning up data wasn't realky a ML strength at this point...?