What are some influential papers in the history of machine learning?

... machine learning and its ethical use in healthcare. Registration is currently open for HIMSS25 Europe, where data science professionals, c-suite leaders ... Jul 13, 2010 ... This table reports the N-fold cross-validation test results for the machine learning algorithm and for an “informed guessing” strategy. In the “ ... ... Information Management (MS-AIM). Expand your understanding of data manipulation and modeling, querying, machine learning, and visualizations. Through ... What is AI? Artificial Intelligence explained ... Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer ... We use a labeled data set of question-response pairs to develop multimodal machine learning models to predict support interactions. Using explainable AI, we ... Introduction to Deep Learning ISA 400. Machine Learning with Robotics ISA 410. Systems Analysis and Information Technology Consulting ISA 441. Big Data ... Oct 28, 2020 ... In several finance classification tasks, machine learning algorithms have advantages over traditional techniques for two reasons: (1) they often ... Dec 10, 2020 ... Information gain, or IG for short, measures the reduction in entropy or surprise by splitting a dataset according to a given value of a random variable. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. The ... The article discusses a machine learning method for a control system for a hand limb prosthesis with a non-invasive biosignal reading system, which operates in ...