Machine Learning, Data Science, Deep Learning, Dimensionality Reduction, Artificial Intelligence.
components, while others, like autoencoders, may not be as transparent. Parameter Tuning: For techniques like PCA, you can often choose the number of components or dimensions. You may need to experiment with different values to find the best trade-off between dimensionality reduction and