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Understanding Pattern Recognition in Machine Learning #1754

Closed annwawesh closed 3 years ago

annwawesh commented 3 years ago

Be sure to visit our Resources Page for tools, resources, and example articles to go over.

NOTE: (Please ensure that you have only one open issue + linked pull request at a time. This will ensure that we complete the article in a timely manner from inception to publishing.)

We're looking for the first 2-3 paragraphs of the article that appropriately summarize what your article will be about.

NOTE: We tend to stray away or tend not to publish reviews/comparisons of commercial product offerings.

Proposed title of article

Understanding Pattern Recognition in Machine Learning

Introduction paragraph (2-3 paragraphs):

Pattern recognition is the use of computer algorithms to recognize data regularities and patterns. This type of recognition can be done on various input types such as biometric recognition, colors, image recognition, and facial recognition. It has been applied in various fields such as image analysis, computer graphics, and bioinformatics.

This article takes readers through pattern recognition in machine learning and explains how it works. It also discusses how it has been applied in various fields and analyzes its future outlook.

Key takeaways:

  1. What is pattern recognition?
  2. Features of pattern recognition
  3. How pattern recognition works
  4. Algorithms in pattern recognition
  5. Applications of pattern recognition
  6. The future of pattern recognition

References:

Please list links to any published content/research that you intend to use to support/guide this article. N/A.

Templates to use as guides

ninjaginja commented 3 years ago

good topic @annwawesh - approved