Dat Tran
Dat Tran
Aug 23, 2017 · 1 min read

Hi Corbin Black,

Thanks for your comment! I disagree with your point. For me AI is a subset of machine learning so does deep learning as well. Of course, there is no clear answer to this. Some people will say that AI is a subset of machine learning, others won’t. I think what matters here is how you reason is and from my perspective all deep learning algorithms so far are machine learning algorithms as they learn from data. They use common approaches like optimizing a loss function on data to get weights so that these data can be modeled approximately by this function. In terms of your argument with the hardware, I also agree that this is one of the reasons but there are much more factors that play a role here. For example, during the big data wave, the infrastructure could also have been bought but still a lot of projects fail and this was that they simply didn’t have the right data and people. AI is so in right now like big data in the past because there are some companies that are doing this right because they have all those factors in place and there are some that just try to ride on this wave.

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    Dat Tran

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    Dat Tran

    Head of AI @ Axel Springer AI. Part of AS Ideas Engineering (https://axelspringerideas.de/). More on @datitran.