Data Science and Machine Learning (Theory and Projects) A to Z - Multiple Random Variables: Curse of Dimensionality

The video discusses the challenges of estimating probability distributions with random variables, focusing on the use of histograms for single and multivariable data. It highlights the curse of dimensionality, where more variables require exponentially more data to build reliable models. Solutions like PCA and dimensionality reduction are briefly mentioned.

What new insight or understanding did you gain from this video?