What are some open-source machine learning projects I can contribute to?

... Machine Learning and Data Science by attending an online information session. Held in a webinar-style format, these information sessions offer a wonderful ... ... machine learning, information visualization, and data ethics. Includes programming in R and Python. Prerequisite: INFO 201; either CSE 122, CSE 123, CSE 142 ... Committee-based sampling for training probabilistic classifiers. In Proceedings of the 12th International Conference on Machine Learning, pages 150–157,. 1995. Finally, our paper refers to recent machine learning applications to forecasting financial markets and portfolio selec- tion (classification algorithms, genetic ... Computer Science > Machine Learning. arXiv:2501.09327 (cs). [Submitted on 16 Jan 2025 (v1), last revised 17 Jan 2025 (this version, v2)] ... The portfolio emphasizes development of formal methods while leveraging AI and machine learning. Techniques and tools are provided as open-source software for ... 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. Jan 6, 2025 ... The Journal of Artificial Intelligence Research (JAIR) is dedicated to the rapid dissemination of important research results to the global ... Mar 27, 2025 ... Admissible ML introduces two methodological tools: Infogram, an “information diagram”, is a new graphical feature-exploration method that ... Mar 27, 2025 ... We can also apply more sophisticated methods to extract relevance feedback from the top-ranked documents - machine learning models can provide a ...