Year: 2024
Type: article
Abstract: : Artificial intelligence is a branch of science that is growing at a fast rate to make computers behave like humans. Training and AI is one of the tech advancements that cover a wide range of areas like neural networks, natural language processing, gaming, robotics, and automation. Today, neural networks, computing, and automation are some of the hottest areas in AI that are successfully implemented in areas like natural language processing and voice recognition. This research paper explores the intersection of training and artificial intelligence (AI) and its implications for various industries. It examines different machine learning techniques like supervised, semi-supervised, and unsupervised learning, and reinforcement learning and their impact on the effectiveness and efficiency of AI algorithms. Also, the paper explores the deep learning concepts that are used in machine learning methods and presents an overview of machine learning algorithms and how they are applied in the implementation of AI systems. Keywords: Machine Learning, Artificial Intelligence, Supervised Learning, AI Training, Deep Learning, Data Algorithms, Deep Learning. Title: Training and Artificial Intelligence Author: Manal Al-otaibi International Journal of Social Science and Humanities Research ISSN 2348-3156 (Print), ISSN 2348-3164 (online) Vol. 12, Issue 3, July 2024 - September 2024 Page No: 166-176 Research Publish Journals Website: www.researchpublish.com Published Date: 08-August-2024 DOI: https://doi.org/10.5281/zenodo.13268751 Paper Download Link (Source) https://www.researchpublish.com/papers/training-and-artificial-intelligence
Author: Manal Al-otaibi
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6892919129
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