The curse of being an engineer is that it’s not enough to simply complete a process, it has to be optimized as you go. Below are a few thoughts on optimizing the process of picking and juicing oranges:
Artificial Intelligence is, as a field of study, larger than Machine Learning. In fact, ML is just a specific subset of AI. I wasn’t too clear on where exactly the line was drawn, but it turns out the accepted industry answer is that you can have AI without ML, but whenever you’re doing ML, that’s a form of AI.
Knowing more about the internals of a problem can lead to better understanding and discussion across the board. Most algorithms that you’ll come across in practice aren’t going to be as simple as to fit into any one of these categories, but understanding the pieces of them allows you to get a better grasp of the system as a whole.
Let me repeat that, algorithms aren’t scary. There’s this whole negative idea going around the media that algorithms are running our lives: how we work, how we relax, how we interact with our surroundings, and even how we date and form interpersonal relationships. They’re correct about how deeply technology influences our society but where […]