MACHINE LEARNING VS DATA SCIENCE: WHAT IS THE DIFFERENCE? Posted on : Aug 05 - 2022

The much-awaited comparison is finally here: machine learning vs data science. The terms “data science” and “machine learning” are among the most popular terms in the industry in the twenty-first century. These two methods are being used by everyone, from first-year computer science students to large organizations like Netflix and Amazon.

The fields of data science and machine learning are related to the use of data to improve the development of new products, services, infrastructure systems, and other things. Both correspond to highly sought-after and lucrative job options. But, they are not the same. So, what are the differences?

MACHINE LEARNING VS DATA SCIENCE: WHAT IS THE DIFFERENCE?

Machine learning is the study of developing techniques for using data to enhance performance or inform predictions, while data science is the study of data and how to extract meaning from it.

Similar to how squares and rectangles are related to one another but not the other way around. Machine learning is the square that is its entity, whereas data science is the all-encompassing rectangle. Data scientists frequently employ both in their work, and practically every industry quickly embraces them. View More