ML is a big field of study with a lot of research in progress and is expanding rapidly. To understand ML, we should first understand the nature of learning. Thinking and reasoning are the key concepts that make us – humans – special. The core of ML is to make the system learn and use the knowledge to act upon tasks. You might recall your first steps in studying programming. We are sure it wasn't easy. You had to learn new concepts, build abstractions, and make your brain understand what's going on under the hood of program execution. After that, you were supposed to build complex systems using those small building blocks described in primers as keywords, instructions, conditional statements, functions, classes, and so on.
However, an ML program differs from the programs we usually create. Take a look at the following code:
int calculate...
