What is the difference between machine learning and data science?

What is the difference between machine learning and data science?

Machine learning is a subset of data science focused on algorithms that learn from data. Data science encompasses a broader range of techniques, including data analysis, visualization, and statistical modeling.

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

Sure! Machine learning is used in recommendation systems like Netflix, while data science is used in business analytics to drive decision-making.

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, then move on to machine learning for specialized skills.

Are there specific programming languages I should focus on?

Yes, Python is widely used in both fields due to its libraries like Pandas for data science and Scikit-learn for machine learning.

What career opportunities are available in these fields?

There are many opportunities, including data analyst, machine learning engineer, and data scientist roles, each with its own focus.