AI, Machine Learning, Unsupervised Learning.
challenges by transforming the data into a lower-dimensional space, capturing the most relevant information. Watch this video to learn more about dimensionality reduction. Now, let’s explore some key techniques related to dimensionality reduction: 1. Principal component analysis (PCA) Finds a set