A Quick Review of Machine Learning Algorithms

By Susmita Ray. International Conference Machine Learning, Big Data, Cloud and Parallel Computing, 2019

721 citations recorded by the source corpus.

Machine learning is predominantly an area of Artificial Intelligence which has been a key component of digitalization solutions that has caught major attention in the digital arena. In this paper author intends to do a brief review of various machine learning algorithms which are most frequently used and therefore are the most popular ones. The author intends to highlight the merits and demerits of the machine learning algorithms from their application perspective to aid in an informed decision making towards selecting the appropriate learning algorithm to meet the specific requirement of the application.

Subfields: Artificial Intelligence, Health Information Management

View Paper: https://www.semanticscholar.org/paper/8db8166249dfb94dd8d52f88d27917b5755ae049

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Citations in the corpus

Generative artificial intelligence (2023, neutral): “Exemplary algorithms include decision trees, k-nearest neighbors, or support vector machines (Ray, 2019).”
Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends (2023, methodology): “The utilization of ML algorithm [111,112] involves mathematical guidelines that facilitate machines to learn from data and enhance their performance in a particular task without being explicitly programmed.”