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representations complicate transparency and compliance checks with data protection and privacy legislation (e.g., GDPR) whether performed by humans or computer systems. Second, both privacy-preserving distributed
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and basic optimization techniques are essential. Students with backgrounds in Data Science, Applied Statistics, Machine Learning, Statistical Computing, Industrial Engineering, or Reliability
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for Scalable Data Systems and Intelligent Analytics Unsupervised Music Emotion Tagging (Affective Computing) Authorised by: Marketing, Faculty of IT , Monash University . Maintained by: Marketing, Faculty of IT
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University of Warwick (UK), explores the design and development of computational Decision Support tools to help us better manage the interactions between beneficial insects, such as bees, and the flowering
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Chronic conditions are becoming a serious global and national health problem. Recommendation systems play an important role in supporting patients in managing their long-term health issues. They generally rely on expert rules or machine learning models to provide health advice. Recently,...
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Mobile and continuous health monitoring has seen major advancements in recent years. The capabilities of current mobile phones and their built-in sensors have inspired many mobile sensing applications for monitoring individuals' health, activities and social behaviour. Yet, there is a lack of...
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activities, such as the Monash Minds Student Leadership Program. I am grateful for the support this scholarship has provided. It has empowered me to embrace new opportunities with confidence and has
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program assisted greatly in framing my perspectives of Singapore and region, identifying problems faced but also developing the leadership skills to craft solutions to them. There is also significant heft
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: Commencing or continuing full-time in the Bachelor of Commerce honours program with an econometrics, business analytics or actuarial studies specialisation. Benefits $15,000 for one year only (48 credit points
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have any questions regarding this scholarship program or the application process please contact the WIL team. Email: ie.buseco@monash.edu Phone: 9903 8866 Every scholarship may have a different