Dynamic Time Warping: An Introduction | Built In
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Dynamic Time Warping: An Introduction | Built In
Dynamic time warping (DTW) is a way of comparing two temporal sequences that don’t perfectly sync up through mathematics. The process is commonly used in data mining to measure the distance between two time series. It’s also a useful method in fields like financial markets and speech recognition.
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