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… need to know about this date Up to and including 15 January 2022, 23:59 CET Deadline for completing the entire application process for all applicants Non-EU/EEA applicants require a visa or residence permit Before 21 January 2022, 16:00 CET Submit the online portfolio and addendum and the homework assignment belonging to the portfolio (round 1 selection procedure) - Submit via the link to the online portfolio that you receive per email. - In addition, a limited number of candidates will need to apply for a ‘sufficiency check’. - If applicable, you must upload a syllabus per subject in the MyUM portal. 4 February 2022 You will receive an email about whether or not you can move on to the second round 19 February 2022 Selection day in Maastricht (round 2 selection … 3/8 General requirements: prior qualifications The admission requirements for academic year 2022-2023 for the bachelor's programme in Medicine depend among other things on your prior qualifications. Please check below which requirements apply to you. Prospective students with a Dutch diploma If you possess one of the diplomas stated below then, in principle, you are directly admissible. A new-style VWO diploma with the profile Natuur en Gezondheid …

… techniques and will require them to read and understand published scientific papers from recent Machine Learning conferences. Prerequisites Desired Prior Knowledge: Machine Learning Recommended reading Pattern Recognition and Machine Learning - C.M. Bishop; Bayesian Reasoning and Machine Learning - D. Barber; Gaussian Processes for Machine Learning - C.E. Rasmussen & C. Williams; The Elements of Statistical Learning - T. Hastie et al. KEN4154 Period 2 28 Oct 2024 13 Dec 2024 Print course description … made by it and the process through which they are made. Such explainable artificial intelligence (XAI) can be required in a wide range of applications. For example, a regulator of waterways may use a decision support system to decide which boats to check for legal infringements, a concerned citizen might use a system to find reliable information about a new disease, or an employer might use an artificial advice-giver to choose between potential candidates fairly. For explanations from intelligent … There are often constraints on the order in which tasks, or ‘jobs’ can be performed, and there are usually capacity constraints of the machines. This leads to natural, industrially critical optimization problems. For example, a company might choose to buy many machines to process jobs, but then there is a risk that the machines will be underused, which is economically inefficient. On the other hand, too few machines, or an inappropriate ordering of tasks, may lead to machines spending a significant …