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to the programmer to quickly resolve type errors and support there understanding and propagation of types throughout their program.
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The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon...
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the Monash Engineering program. Am I eligible? You must be one of the following: An International student You must meet the following criteria: A commencing student enrolled or intending to enrol in
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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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'', 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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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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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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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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, 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