Machine Learning, Python, Towards Data Science, Dimensionality Reduction, Data Visualization.
it to some non-technical board members which are probably not familiar with cosine similarity at all — how would you do that? You have the need to compress the data to as little dimensions as you can and the constraint you were given is to preserve approx. 80% of the data, how would you go about