Machine learning and Data Science are cool, and really useful, but also they can be quite overwhelming when you are getting started, with complicated jargon and lots and lots of statistics and mathematical background. But, can we apply on it the long lasting Developer rule of “Hello world Now, Theory later”? In this talk I will share 5 tips from my journey becoming a Data Hacker, How the maker-mentality helped me become a better data-scientist, And how you can use your engineering strengths to become jack-of-all-trades Data Hacker.
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