A. To lift the curse of dimensionality, we use techniques like feature selection (choosing the most relevant features) and feature extraction (transforming data into lower dimensions), such as Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE).