How To Develop a Machine Learning Model From Scratch

In this article we are going to study in depth how the process for developing a machine learning model is done. There will be a lot of concepts explained and we will reserve others, that are more specific, to future articles. The first, and one of the most critical things to do, is to find out what are the inputs and the expected outputs. It is crucial to keep in mind that machine learning can only be used to memorize patterns that are present in the training data, so we can only recognize what we have seen before. When using Machine Learning we are making the assumption that the future will behave like the past, and this isn't always true.