Chapter 2: Supervised learning: From theory to applications
Ashish Tiwari Masters in Computer Applications, Jamia Millia Islamia University, New Delhi, India
Abstract
Supervised learning is one of the most important components of machine learning which deals with the theory and applications of algorithms that can discover patterns in data when provided with existing independent and dependent factors to predict the future values of dependent factors. Supervised learning is a broadly used machine learning methodology with its applications in diverse areas like Natural Language Processing, image and video classification, medical analysis, and many other prevailing fields. This chapter explains various supervised machine learning techniques ...
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