Scope of pattern recognition in data science

Introduction

Laymen explanation

Pattern is everything around in this digital world. A pattern can either be seen physically or it can be observed mathematically by applying algorithms.

The colours on the clothes, speech pattern etc are few examples. In computer science, a pattern is represented using vector features values. If you are interested to know its role in data science, then this document helps.

Technical explanation

Pattern recognition is the process of recognizing patterns by using machine learning algorithm. Pattern recognition can be defined as the classification of data based on knowledge already gained or on statistical information extracted from patterns and/or their representation. One of the important aspects of the pattern recognition is its application potential.

Examples: Speech recognition, speaker identification, multimedia document recognition (MDR), automatic medical diagnosis.

Applications of pattern recognition

• Speech recognition

• Finger print identification

  • In computer vision, machine should be able to understand various types of terrain. For example, he should be able to know slopes

  • In satellite imaging, pattern recognition helps to identify different land covering. For example, it identifies the change in forest covering over the period of time (time series analysis)

  • Pattern recognition helps machine to understand fuzzy behaviour. For example, a good person is not always good. Machine needs to understand this.

  • ...

Machine learning fields derived from Pattern recognition

• • Computer vision

  • Image processing

  • Neural networks

  • Fuzzy logic

  • Bio-medical engineering

  • ..

Properties of PR classifiers

• • Best classifiers minimises the probability of misclassification

  • How to know which input feature is contributing to the prediction? This is called Explainability and it is desirable property of a classifier. As an example, customer may want to know about the reason for his loan rejection.

Reference

https://youtu.be/mfePdDh9t6Q

https://www.geeksforgeeks.org/pattern-recognition-introduction/

https://en.wikipedia.org/wiki/Explainable_artificial_intelligence

https://images.app.goo.gl/HwHVBUoG3pSca6rJ9