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Data Science
Data scientists should not have to worry about their couvernets cluster and like, oh no, is that port open on that one work? Like there's a level of abstraction you shouldn't have to worry about. And i think das is one of those tools that makes it less complicated to do that. Another place where i think this happens a lot is when i think neral networks. For the longest time, didn't feel like i can learn nerl networks because i thought they were too complicated. But once i learned them, ilik, kitting me out easily. Other could be done more easily if we made shaby computing easier for people to understand. Supposed to look