AI (artificial intelligence) opens up a world of possibilities for
application developers. By taking advantage of machine learning or deep
learning, you could produce far better user profiles, personalization,
and recommendations, or incorporate smarter search, a voice interface,
or intelligent assistance, or improve your app any number of other ways.
You could even build applications that see, hear, and react.
Which programming language should you learn to plumb the depths of AI? You’ll want a language with many good machine learning and deep learning libraries, of course. It should also feature good runtime performance, good tools support, a large community of programmers, and a healthy ecosystem of supporting packages. That still leaves plenty of good options.
Which programming language should you learn to plumb the depths of AI? You’ll want a language with many good machine learning and deep learning libraries, of course. It should also feature good runtime performance, good tools support, a large community of programmers, and a healthy ecosystem of supporting packages. That still leaves plenty of good options.
1. Python
At number one, it’s Python. How could it be anything else, really? While there are maddening things about Python—the whitespacing, the massive split between Python 2.x and Python 3.x, the five different packaging systems that are all broken in different ways—if you’re doing AI work, you almost certainly will be using Python at some point.
Hello, my name is Jack Sparrow. I'm a 50 year old self-employed Pirate from the Caribbean.
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