[TBD]Role of feature extraction in machine learning

Introduction

Laymen explanation

Technical explanation

Approaches

Dimensionality reduction techniques can be used for feature extraction. For example, a car’s mileage may be very correlated with its age, so the dimensionality reduction algorithm will merge them into one feature that rep‐ resents the car’s wear and tear.

Audio feature extraction

https://www.youtube.com/watch?v=q-a5zz8UrP4??

Video feature extraction

https://www.youtube.com/watch?v=q-a5zz8UrP4??

Reference

https://www.amazon.in/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1491962291