What is the difference between data science and machine learning?

What is the difference between data science and machine learning?

Data science is a broader field that encompasses various techniques for analyzing and interpreting data, while machine learning is a subset of data science focused on algorithms that allow computers to learn from data.

Can you give me some examples of how they are used in real life?

Sure! Data science is used in business analytics to make data-driven decisions, while machine learning is used in applications like recommendation systems and image recognition.

Which one should I learn first if I want to work in AI?

It's beneficial to start with data science to understand the foundational concepts, and then move on to machine learning for specialized skills.

Are there any specific programming languages I should focus on?

Yes, Python is highly recommended for both data science and machine learning due to its extensive libraries and community support.