Data collection

Once questions are asked in the right direction, the target of data exploration is clear. So, the next step is to see where the data comes from. Data collected can be much unorganized and in very diverse formats, which may involve reading from a database, internet, file system, or other documents. Most of the tools for machine learning require data to be presented in a specific format in order to generate the proper result. We have two choices: observe the data from existing sources or generate the data via surveys, simulations, and experiments. Let's take a closer look at both approaches.