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You'll start with a look at the nearest neighbor search problem, common with multidimensional data, and walk through a real-world solution for tackling it. Next, you'll delve into a set of methods and techniques integral to Principal Component Analysis (PCA), an underlying technique in Latent Semantic Analysis (LSA) for document retrieval. In the last chapter, you'll work with digital audio data, using mathematical functions in different and interesting ways. B sharpening your competitive edge with the fun and fascinating math in this (free!) practical guide!



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