AI means making machines smart like humans so they can think, understand, and make decisions.

AI = Smart brain for machines.

ML is a part of AI.
It means teaching machines to learn from data and improve themselves without being told every time.

ML = Learning from examples (data).

Deep Learning is a part of ML.
It uses something called neural networks, which are like how our brain works.

DL = Brain-like learning from huge data.

Data Science is the field of collecting, cleaning, understanding, and analyzing data to find useful information.

Data Science = Solving problems using data.

Mathematics gives formulas and logic for solving problems in AI and ML.

Math = Foundation of logic in AI and ML.

Statistics helps in understanding data using numbers.

Statistics = Understanding data with numbers.

EDA is the first step in analyzing data.

EDA = Checking and understanding the data before using it.