What are the current trends shaping the future of machine learning?

In simpler terms, machine learning enables computers to learn from data and make decisions or predictions without being explicitly programmed to do so. At its ... 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). As machines replace humans in financial markets, how is informational efficiency impacted? We shed light on this issue by exploiting unique data that allow ... Threat, intrusion and anomaly detection for cloud security; Vulnerability detection and remediation using AI; Incident response using AI; Reinforcement learning ... This information is shared in the security community and Microsoft continuously monitors threat intelligence feeds from internal and external sources. Signal ... Mar 31, 2021 ... In this context, training data are the data used to develop and calibrate an AI approach; for example, a financial institution might use a large ... Professor Zhang's research interests are artificial intelligence, informational ... CSE144 Applied Machine Learning: Deep Learning CSE272 Information ... Design and conduct experiments to test the operation of software systems, frequently using techniques from data science and machine learning; Analyze the ... 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. Mar 2, 2021 ... ... information. Keywords: Market efficiency; Information acquisition; Machine learning; Informed trading; Algorithmic trading. undefined. JEL ...