Machine Learning, Data Science, Deep Learning, Dimensionality Reduction, Artificial Intelligence.
to memorize the training data instead of generalizing from it. Fewer dimensions can lead to simpler and more interpretable models. Enhanced Efficiency: Computationally, fewer dimensions mean faster training and testing of models. Smaller datasets are less resource-intensive and lead to quicker