Himanshu Chandra

BIOMOLECULAR ENGINEERING, BIOENGINEERING, BIOCHEMICALS, BIOFUELS, AND FOOD Nikhlesh Saxena, Corresponding Author nikhlesh.saxena@ril.com Reliance Industries Limited, Mumbai, Maharashtra, India Correspondence Reliance Industries Ltd, Mumbai, India.

Common mistakes we make with these metrics & how to choose the one best for your business case There are quite a few things about being a data scientist that I love. Developing a holistic sense of the business you are creating a solution for, is one of them. Having that real-world context to the formulae we use makes it all the more fun.

How to visualize the algorithm, so that you can customize it on your own. Since you are here, I assume you already know the reason why we use Dynamic Time Warping, or DTW in time-series data. Simply put, it’s used to align or match two similar patterns. One of the reasons DTW was initially developed was for speech recognition. Your mother may speak slowly one day, and hurriedly on another; even have a bit of cold and sore throat on some days, but you still can recognize her voice.