Enterprise Application Architecture with .NET Core

Machine learning (ML)

Often confused with Artificial intelligence, machine learning actually takes the process one step further by offering the data necessary for a machine to learn and adapt when exposed to new data. I would define it as the self-learning capability of the machines by modern computing principles. Fundamentally, it is designed and built by reading mined data, creating a new algorithm through AI, and then updating the current algorithms in a highly dynamic fashion according to the newly learnt task. In turn, the self learning matures with time and with more experience/executions.

ML has the following few fundamental capabilities:

• Generalizing information from large data sets
• Detecting and extrapolating the data patterns