I&#x27;m not sure Haskell&#x27;s a freight train anywhere. :) It&#x27;s an all stations passenger train to deeper understanding.<p>More generally, learning Haskell (and to a great extent any programming language) is about a different way of doing things. Deep Learning is a thing to do. (It can also be a way of doing other things, but my point is that they&#x27;re at different levels.)<p>With that said, your time is limited. Studying Haskell, Deep Learning or Statistics (an option that is criminally underrated) is a choice you have to make, and Haskell isn&#x27;t necessarily the best use of your time.<p>If you feel like dipping your toe in the water, though a) install stack <a href="https:&#x2F;&#x2F;github.com&#x2F;commercialhaskell&#x2F;stack" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;commercialhaskell&#x2F;stack</a> b) try doing this course (<a href="http:&#x2F;&#x2F;www.seas.upenn.edu&#x2F;~cis194&#x2F;spring13&#x2F;lectures.html" rel="nofollow">http:&#x2F;&#x2F;www.seas.upenn.edu&#x2F;~cis194&#x2F;spring13&#x2F;lectures.html</a>) and _do the homework_. If you find you&#x27;re enjoying it, you&#x27;ll have your answer. If you&#x27;re not enjoying it, it&#x27;s probably not worth your time.<p>And for the record, I have no idea what some of the top-flight Haskellers are talking about either. But maybe one day I will.