Unveiling the Power of Machine Learning and Deep Learning Algorithms: A Comprehensive Exploration of AI’s Core Algorithms

سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 12

فایل این مقاله در 16 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

ITCT26_025

تاریخ نمایه سازی: 17 مهر 1404

چکیده مقاله:

Machine learning and deep learning algorithms have revolutionized the field of artificial intelligence, enabling computers to learn from data and make intelligent decisions. In this article, we delve into the world of machine learning and deep learning algorithms, exploring their fundamental concepts, types, and applications across various domains. Machine learning encompasses a range of techniques that allow systems to improve their performance based on experience, while deep learning, a subset of machine learning, involves neural networks with multiple layers that can model complex patterns in data. By understanding these algorithms, we gain insights into their capabilities and unleash their potential in solving complex problems. From image and speech recognition to natural language processing and autonomous driving, the applications of these algorithms are vast and transformative. We also discuss the challenges associated with implementing these technologies, such as data quality, computational requirements, and ethical considerations. By examining the current state and future trends in machine learning and deep learning, this article provides a comprehensive overview of how these powerful tools are shaping the future of technology and society.

نویسندگان

Saeed Baay

Master of Civil Engineering, Structures, Islamic Azad University, Gonbad-Kavoos Branch