Simple Machine Learning for Programmers

Machine Learning for Beginners This book is an experiment for me. After years of teaching successful deep learning and machine learning courses online, I’ve come to notice a few patterns. One of them is that a large subset of students just RUN AWAY at the sight of math. This is somewhat problematic since machine learning is essentially applied math (e.g. instead of just writing down equations you’re programming the equations into a computer in order to perform some useful task). A lot of students have asked me, “Lazy Programmer, is it possible to learn machine learning with an API?” Indeed, in programming, the idea that you can have abstractions for different components in a large system is a very powerful concept. It means that instead of having to understand every single line of code in great detail, you instead trust that other programmers, all building their respective components, have completed their respective piece of the puzzle. An API is a contract. It says, “You give me this, and I promise to give you this back.” It allows you to focus on writing your part of the system only, since you trust that everyone else has performed their jobs correctly.