Sources of data and what we can do with them

Machine learning software has become increasingly important in all fields today. Anything from telecommunication networks, self-driving vehicles, computer games, smart navigation systems, and facial recognition to websites, news production, cinematography, and experimental music creation can be done using machine learning. Some applications are very successful at, for example, using machine learning in search strings (BERT models). Some applications are not so successful, such as using machine learning in hiring processes. Often, this depends on the programmers, data scientists, or models that are used in these applications. However, in most cases, the success of a machine learning application is often in the data that is used to train it and use it. It depends on the quality of that data and the features that are extracted from it. For example, Amazon’s machine learning recommender was taken out of operation because it was biased...