How Dynamic Time Warping Algorithm works? || Complete Understanding with Example

Welcome to our comprehensive guide on Dynamic Time Warping (DTW)! In this video, we'll demystify the intricacies of DTW and provide you with a step-by-step understanding of its working, using a practical worked-out example. 🕰️ What is Dynamic Time Warping? Dynamic Time Warping is a powerful technique in time series analysis that allows us to compare and measure the similarity between two temporal sequences, even when they have variations in time and speed. It's widely used in various fields, from speech recognition to pattern matching. Dynamic time warping is a time invariant distance measure primarily used for time series analysis Unlike euclidean distance dtw measures the similarity in pattern of the movement even if the two signals move at different speeds In this video we talk about dynamic time warping, understanding dtw using example, we learn about the applications of dtw and importantly we discuss the code implementation in python Video overview 00:00 - Introduction 00:27 - distance measures 01:27 - intuitive understanding of dtw 03:00 - learning with example 04:25 - applications of dtw 05:15 - code understanding (pseudo code) 08:40 - python implementation for dtw 13:04 - unconstrained dtw and challenges 15:26 - conclusion ------------------------------------------------------------------------------------------------------------------------------------------- Resources * Link to the PDF for the lecture: https://drive.google.com/file/d/1Dihj1bXZQl5dGB-S2tX57Ra51a8Ka645/view?usp=sharing * link to the code implementation: https://drive.google.com/file/d/1MdFdr9E2klHtV5Su6HVLLKl_YWoe3ba0/view?usp=sharing If you find the content useful, make sure to give it a THUMBS UP :) ----------------------------------------------------------------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------------------ "Datahat is a data science platform to Learn, Create & Collaborate" * Schedule a session for personalized professional help: https://topmate.io/datahat * Interesting reads on our blog: https://medium.com/@souravagarwal54321 * Connect with us on linkedIn: https://www.linkedin.com/in/sourav-agarwal-saag/ Remember, "the greatest investment ever made is investment in self growth and learning" [Watch the content & Thank us later :3]