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'', Springer (Link to the preface [and p vi, also here]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program. Proc. 7th Australian Joint Conf. on Artificial Intelligence, UNE
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind the scenes and the simplex algorithm is one of the top 10 most influential algorithms. Major...
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Geomechanics program. In this role, you’ll oversee and conduct a range of standard and specialist testing, train and supervise students and researchers in safe equipment use and testing techniques, and ensure a
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Machine learning is being used to make important decisions affecting people's lives, such as filter loan applicants, deploy police officers, and inform bail and parole decisions, among other things. Machine learning has been found to introduce and perpetuate discriminatory practices...
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time to meet deadlines. You will have advanced computer literacy, including experience with student administration systems or the ability to quickly learn new technologies. Strong analytical and problem
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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leaders to align learning initiatives with strategic business goals. End-to-end program delivery – From concept to impact, you will manage programs with precision, leveraging data data to measure impact and
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these decisions? Required knowledge This project is open to candidates from diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior
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, information science, criminology or media and communication studies and who have training in quantitative methods (e.g., regressions, non-parametric, parametric tests, Structural Equation Modelling) and/or qualitative