Data Science, Machine Learning, Technology, Data, Dimensionality Reduction.
going from three dimensions to two; we can go from 100, to 99, to 98… to three, or two (though it’s not recommended using one). All we do is reduce the dimensionality by one, then repeat until we have the number of features we want. The Mathier Part But you can’t physically pick up your data and