How can we make machine learning more fair and ethical?

Mar 16, 2022 ... AI/ML technology is expected to increase banks' operational efficiency and also facilitate improvements in risk management. While significant ... 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. A new methodology that uses a form of machine learning called convolutional neural networks to find customer needs and insights in user-generated content (UGC). Finally, our paper refers to recent machine learning applications to forecasting financial markets and portfolio selec- tion (classification algorithms, genetic ... ... machine learning and its ethical use in healthcare. Registration is currently open for HIMSS25 Europe, where data science professionals, c-suite leaders ... This 30-credit, 10-course, non-thesis graduate program's rigorous technical curriculum is designed to prepare students for a career as an information engineer. Mar 2, 2021 ... ... information. Keywords: Market efficiency; Information acquisition; Machine learning; Informed trading; Algorithmic trading. undefined. JEL ... Jan 22, 2024 ... Proposed Model · Retrieving documents that are relevant to a user's search query from a big collection is the goal of information retrieval. Feb 20, 2025 ... First, Sul-BertGRU proposes an information entropy-enhanced BERT (IE-BERT) to preprocess protein sequences and extract initial features. Key network metrics and information-theoretic measures were extracted to classify PD patients and healthy controls (HC), using deep learning models, with ...