How can I build a portfolio in machine learning?

Apr 28, 2021 ... The bottleneck in a neural network is just a layer with fewer neurons than the layer below or above it. Having such a layer encourages the ... Nov 7, 2013 ... Machine learning is a form of parametric optimization whose links with information theory are clear thus evolving. The problem is that this link ... In addition, emergency-related information posted on social media during health emergencies is our boundary condition. NLP, text mining, and machine learning ... Oct 21, 2024 ... Abbas Saad Alatrany, Wasiq Khan, Abir Hussain, Hoshang Kolivand, and Dhiya Al-Jumeily. 2024. An explainable machine learning approach for ... Specialty in Artificial Intelligence in Business. MIS 587 Business Applications in Machine Learning ... MIS 581 Policy and Strategy for Information Technology, ... 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 ... Jan 6, 2025 ... The Journal of Artificial Intelligence Research (JAIR) is dedicated to the rapid dissemination of important research results to the global ... Finally, our paper refers to recent machine learning applications to forecasting financial markets and portfolio selec- tion (classification algorithms, genetic ... 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. Feb 20, 2025 ... First, Sul-BertGRU proposes an information entropy-enhanced BERT (IE-BERT) to preprocess protein sequences and extract initial features.