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Research Paper | Computer Engineering | India | Volume 9 Issue 1, January 2020
Machine Learning Algorithms - A Review
Abstract: Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without being explicitly programmed. Learning algorithms in many applications thats we make use of daily. Every time a web search engine like Google is used to search the internet, one of the reasons that work so well is because a learning algorithm that has learned how to rank web pages. These algorithms are used for various purposes like data mining, image processing, predictive analytics, etc. to name a few. The main advantage of using machine learning is that, once an algorithm learns what to do with data, it can do its work automatically. In this paper, a brief review and future prospect of the vast applications of machine learning algorithms has been made.
Keywords: Algorithm, Machine Learning, Pseudo Code, Supervised learning, Unsupervised learning, Reinforcement learning
Edition: Volume 9 Issue 1, January 2020,
Pages: 381 - 386
How to Cite this Article?
Batta Mahesh, "Machine Learning Algorithms - A Review", International Journal of Science and Research (IJSR), Volume 9 Issue 1, January 2020, pp. 381-386, https://www.ijsr.net/get_abstract.php?paper_id=ART20203995
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