Year: 2024
Type: article
Abstract: Machine learning (ML) is a new type of artificial intelligence (AI) that has been widely used in various fields such as business, finance and finance.Machine learning is an emerging technology based on a combination of machine learning and artificial intelligence.It focuses on creating algorithms that learn from data that can be used to improve tasks such as office automation and risk prediction, but it also faces challenges such as ensuring data quality and grappling with ethical implications.This research provides a comprehensive overview of the most common and widely used learning algorithms and a detailed analysis of their specific characteristics, which help to find a suitable algorithm when comparing different research projects.The research also explores the challenges of implementing business education.The article discusses the importance of ensuring the security and privacy of large amounts of data managed by the system and the need for advanced computer systems to adopt artificial intelligence and machine learning technologies.It is worth noting that the articles emphasize the incorporation of predictive analytics into existing goals and the use of artificial neural networks (ANN) for forecasting in complex, ever-changing systems such as the stock market.
Language: English
Subfield: Complementary and alternative medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4401863511