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As of Spring 2023, the online master's program currently offers 58 courses and five specializations—Computational Perception and Robotics, Computing Systems, Human-Computer Interaction, Interactive Intelligence, and Machine Learning.
Online learning is a common technique used in areas of machine learning where it is computationally infeasible to train over the entire dataset, requiring the need of out-of-core algorithms. It is also used in situations where it is necessary for the algorithm to dynamically adapt to new patterns in the data, or when the data itself is ...
Mila - Quebec AI Institute (originally Montreal Institute for Learning Algorithms) is a research institute in Montreal, Quebec, focusing mainly on machine learning research. Approximately 1000 students and researchers and 100 faculty members, were part of Mila in 2022. [ 1 ]
Key topics include machine learning, deep learning, natural language processing and computer vision. Many universities now offer specialized programs in AI engineering at both the undergraduate and postgraduate levels, including hands-on labs, project-based learning, and interdisciplinary courses that bridge AI theory with engineering practices.
His research interests focus on machine learning and artificial intelligence, particularly interactive and human-centered AI. He has published over 100 scientific papers. [1] In addition to his research work, Isbell has been an advocate for increasing access to and diversity in higher education.
Explainable AI (XAI), or Interpretable AI, or Explainable Machine Learning (XML), is artificial intelligence (AI) in which humans can understand the decisions or predictions made by the AI. [127] It contrasts with the "black box" concept in machine learning where even its designers cannot explain why an AI arrived at a specific decision. [128]
Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source), to label new data points with the desired outputs. The human user must possess knowledge/expertise in the problem domain, including the ability to consult/research authoritative sources ...
Many AI platforms use Wikipedia data, [273] mainly for training machine learning applications. There is research and development of various artificial intelligence applications for Wikipedia such as for identifying outdated sentences, [ 274 ] detecting covert vandalism [ 275 ] or recommending articles and tasks to new editors.
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