Machine Learning Techniques: Applications and Challenges
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Machine Learning Techniques: Applications and Challenges
Nagendra Kumar Singh1, Gaurav Kumar Verma 2
1 Assistant Professor, Department of Computer Science, Era University, Lucknow
2 Assistant Professor, City Group of colleges, Lucknow
Abstract - Machine learning is a cutting edge technology based on the idea of how a system can learn from already existing data and work with minimal human supervision. Machine learning differs from existing computer systems in that it does not know the logic in advance and it discovers the logic based on the data and then applies the learned login on new data. Thus machine learning has a huge scope in various fields such as healthcare, finance, education, e-commerce, railways, entertainment, telecommunication etc. Machine learning algorithms can be effectively used for disease prediction, disease detection, providing personalized healthcare, etc. This paper introduces the systematic review of machine learning techniques, applications and their challenges.
Key Words: optics, photonics, light, lasers, stencils, journals
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