HISTORY OF MACHINE LEARNING WITH ITS ADVANTAGES AND ITS APPLICATIONS.
Author(s):
Dr.J.Savitha, D.G.Sneha, S.Aiswin, R.S.Surendar
Keywords:
Abstract
The discipline of machine learning, which is simply the ability for computers to successfully predict the future based on past experiences, has recently shown significant growth thanks to the quick rise in computer storage and processing power. Machine learning techniques have been widely used in bioinformatics as well as many other fields. For this application field, complex machine learning methods have been developed due to the complexity and expense of biological analyses. The foundational ideas of machine learning, such as feature evaluation, supervised versus unsupervised learning, and various classification techniques, are initially covered in this chapter. Then, we highlight the key difficulties in creating machine learning experiments and assessing their efficacy. We conclude by introducing a few supervised learning techniques.
Article Details
Unique Paper ID: 161278

Publication Volume & Issue: Volume 10, Issue 3

Page(s): 172 - 176
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