We have discussed what machine learning is. But how exactly do you do machine learning? At a high level, machine learning projects are all about taking in raw data as input and churning out Predictions as Output. To do that, there are several important intermediate steps that must be accomplished. This machine learning workflow can be summarized by the following diagram:
The Input to our machine learning workflow will always be data. Data can come from different sources, with different data formats. For example, if we are working on a computer vision-based project, then our data will likely be images. For most ...
