https://journals.sagescience.org/index.php/ssraml/gateway/plugin/AnnouncementFeedGatewayPlugin/atom 2024-11-19T00:41:05-07:00 Open Journal Systems <p>The Sage Science Review of Applied Machine Learning is a peer-reviewed academic journal that publishes original research articles, reviews, and case studies in the field of applied machine learning. The journal aims to provide a platform for researchers, practitioners, and scholars to share their innovative research and applications in the field of machine learning.</p> <p>The journal covers a broad range of topics related to applied machine learning, including machine learning algorithms and models, deep learning and neural networks, natural language processing, computer vision, and image processing, data mining and knowledge discovery, statistical learning, reinforcement learning, transfer learning, explainable and interpretable machine learning, and machine learning for healthcare, finance, social media, and other applications.</p>