Data science, AI, and ML are related but separate entities.
Data science is a more general discipline that deals with the extraction of insights and knowledge from data. It comprises data collection, cleaning, exploration, analysis, and visualization.
Machine learning is a subset of AI that deals with the development of algorithms that can learn from and make a prediction on data. It’s one tool in the data scientist toolkit.
Artificial intelligence is an umbrella term that describes the field dedicated to creating intelligent agents. In other words, it’s a system that reasons, learns, and acts autonomously. Machine learning is one of the keys to AI.
Visualizing the Relationship
Venn diagram of data science, machine learning and AI overlap
In Summary
Data science is the base for AI.
Machine Learning is a key technology behind AI.
Summary
Data scientists commonly resort to use machine learning models for the problem.
Machine learning is a subset of techniques in AI.
AI is the more general quest for intelligent systems.