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Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
BMJ

Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review

Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...
IEEE

Research on Big Data Analysis of Low-Voltage Power Grid Blackout Information and Optimization of Traceability Algorithm

Abstract: In this study, the power outage information of low-voltage power grid is deeply analyzed by big data and the optimization of traceability algorithm is studied. By collecting and processing a ...
IEEE

Comparative Analysis of A3C and PPO Algorithms in Reinforcement Learning: A Survey on General Environments

Abstract: This research article presents a comparison between two mainstream Deep Reinforcement Learning (DRL) algorithms, Asynchronous Advantage Actor-Critic (A3C) and Proximal Policy Optimization ...