machine learning
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I gave a tutorial to the SharpestMinds community this week on Flask and Heroku that proved useful. So I edited it and uploaded it. I essentially live code a basic web app from scratch to host an image classifier. It is scrappy and cuts a few corners, but the result is a working MVP. I…
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AI and machine learning algorithms are becoming increasingly relevant in the technology we use and it’s important for everyone to understand the implications. There is a key difference in how machine learning algorithms are programmed compared to traditional algorithms. Instead of being logic-based, they are data-based. We’re going from software that is explicitly programmed (if…
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Something we think a lot about at SharpestMinds is how to create an incentive structure that aligns our business goals with the goals of our users. This has led us to embrace income share agreements as a central part of our business model. The ethical implications of AI is something I also think a a…
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A common sentiment you’ll hear from data scientists is that the majority of their day-to-day work is spent collecting and cleaning data. This is a skill many beginner data scientists tend to neglect. It’s much easier to grab an existing clean data-set and start building models instead of creating one from scratch. At SharpestMinds, we…
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