Pattern recognition in ML (2)
0 likes | 10 Views
Pattern recognition in machine learning is the process of identifying and understanding recurring structures or relationships within data. It involves training algorithms to recognize patterns, such as shapes, features, or trends, in order to make predictions, classify data, or extract valuable insights. This field plays a crucial role in tasks like image and speech recognition, fraud detection, and anomaly detection by enabling automated learning and decision-making based on observed patterns.
Download Presentation 
Pattern recognition in ML (2)
An Image/Link below is provided (as is) to download presentation
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.
Content is provided to you AS IS for your information and personal use only.
Download presentation by click this link.
While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
During download, if you can't get a presentation, the file might be deleted by the publisher.
E N D
Presentation Transcript
More Related