How can education and training adapt to the changing landscape of work?

Jul 6, 2023 ... Reinforcement learning (RL) is indispensable for building intelligent decision-making agents. However, current RL algorithms suffer from ... Research topics. Data mining. Machine learning. Information security. Supply chain management. Healthcare information systems. In the Media. A worker gestures ... We use a labeled data set of question-response pairs to develop multimodal machine learning models to predict support interactions. Using explainable AI, we ... Finally, our paper refers to recent machine learning applications to forecasting financial markets and portfolio selec- tion (classification algorithms, genetic ... Mar 2, 2021 ... ... information. Keywords: Market efficiency; Information acquisition; Machine learning; Informed trading; Algorithmic trading. undefined. JEL ... Aug 30, 2024 ... It combined deep neural networks trained using reinforcement learning through self-play with the standard procedure of exhaustive and ... Oct 21, 2024 ... Abbas Saad Alatrany, Wasiq Khan, Abir Hussain, Hoshang Kolivand, and Dhiya Al-Jumeily. 2024. An explainable machine learning approach for ... May 16, 2020 ... Basically the more principal components you retain, the more variance will be explained. Ideally you want to retain as few components as ... 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. Information management student sits in classroom at his computer. ... Explore emerging technologies like artificial intelligence (AI), machine learning, robotics ...