Machine learning vs data science: What's the difference?

Machine learning and data science are two of the most rapidly growing and in-demand fields of today's tech landscape. Both involve working with data, but each field has different goals and uses different methods to achieve these goals. Machine learning is a subfield of artificial intelligence (AI) that focuses on building mathematical models that can learn from large quantities of data and make predictions or decisions without explicit programming. On the other hand, data science is an interdisciplinary field that encompasses various techniques and tools for working with data, such as statistics, machine learning, and programming. Data science and machine learning are closely related fields that share a common goal of extracting insights and knowledge from data.