Machine learning is by far the most important tool of a data scientist. It allows us to create algorithms that discover patterns in data with thousands of variables. We will now explore different types and capabilities of machine learning algorithms.
Machine learning is a scientific field that studies algorithms that can learn to perform tasks without specific instructions, relying on patterns discovered in data. For example, we can use algorithms to predict the likelihood of having a disease or assess the risk of failure in complex manufacturing equipment. Every machine learning algorithm follows a simple formula. In the following diagram, you can see a high-level decision process that is based on a machine learning algorithm. Each machine learning model consumes data to produce information that can support human decisions or fully automate them...
