“After all, you’re teaching machines that work in ones and zeros to reach their own conclusions about the world. You’re teaching them how to think! However, it’s not nearly as hard as the complex and formula-laden literature would have you believe.
Like all of the best frameworks we have for understanding our world, e.g. Newton’s Laws of Motion, Jobs to be Done, Supply & Demand — the best ideas and concepts in machine learning are simple. The majority of literature on machine learning, however, is riddled with complex notation, formulae and superfluous language. It puts walls up around fundamentally simple ideas.
Let’s take a practical example. Say we wanted to include a “you might also like” section at the bottom of this post. How would we go about that?…”