How are Data Science and Machine Learning related to each other?

Data Science and Machine Learning are closely related topics that are sometimes misinterpreted. They both work with data. However, there are a few key characteristics that help us understand how they differ.

  • Data Science is a vast topic that works with vast amounts of data and helps us to extract meaning from it. The overall Data Science process takes care of a number of phases that are involved in extracting insights from the given data. Data collection, data analysis, data modification, data visualization, and other critical phase are all part of this process.

  • Machine Learning, on the other hand, is a sub-discipline of Data Science. It likewise deals with data, but we’re only interested in learning how to transform the processed data into a functional model that can be used to map inputs to outputs, such as a model that can take a picture as an input and tell us whether or not that picture contains a flower as an output.

In a nutshell, Data Science is concerned with acquiring data, analyzing it, and then extracting conclusions from it. Machine Learning is a branch of Data Science that deals with creating models using algorithms. As a result, Machine Learning is an essential component of Data Science.