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Machine Learning Algorithms - A Review

عنوان مقاله: Machine Learning Algorithms - A Review
شناسه ملی مقاله: COMCONF09_038
منتشر شده در نهمین کنگره ملی تازه های مهندسی برق و کامپیوتر ایران در سال 1401
مشخصات نویسندگان مقاله:

Farzaneh Tajdini - ۱ Tabarestan University of Chalus, Chalus, Iran
Samaneh Bayat - ۲ Department of Computer Engineering, Malek Ashtar University, Tehran, Iran

خلاصه مقاله:
Machine learning, primarily a branch of artificial intelligence, has gained significant attention in the digital sphere as a vital element of digitalization solutions. The author's goal in this work is to provide a quick overview of the many machine learning algorithms that are the most often utilized and, consequently, the most well-liked ones. To help readers choose the learning algorithm that will best satisfy the application's unique requirements, the author wants to highlight the advantages and disadvantages of machine learning algorithms from the perspective of those applications.

کلمات کلیدی:
_ Machine learning, Artificial intelligence, Classification, Clustering

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1564315/