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X-WR-CALDESC:Events for Australian Data Science Network
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DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210729T140000
DTEND;TZID=Australia/Brisbane:20210729T153000
DTSTAMP:20210702T020141Z
CREATED:20210702T020141Z
LAST-MODIFIED:20210702T020141Z
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SUMMARY:Data Science Under the Hood: Manifold Learning
DESCRIPTION:Data Science Under the Hood: Manifold Learning\nThis talk introduces Manifold Learning\, the technique to uncover the intrinsic shape of the original data. We also discuss how different manifold learning paradigms can be designed to be incorporated to a dimensionality reduction technique to learn the accurate low-dimensional data representation. \nRegister now
URL:https://australiandatascience.net/event/data-science-under-the-hood-manifold-learning/
CATEGORIES:Webinar
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210714T120000
DTEND;TZID=Australia/Brisbane:20210714T130000
DTSTAMP:20210625T054601Z
CREATED:20210625T053614Z
LAST-MODIFIED:20210625T054601Z
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SUMMARY:ACEMS Virtual Public Lecture - A Song of Wind & Fire
DESCRIPTION:ACEMS Virtual Public Lecture – A Song of Wind & Fire: a statistical journey through an uncertain world\n\n\nIn this lecture\, ACEMS Associate Investigator Dr Rachael Quill will explore how shedding light on the uncertainties of wind flow across the environment can support informed decision-making in bushfire management and renewable energy generation.\nThe weather and its uncertainties influence our decisions every day. Did you take an umbrella today\, just in case\, or did you get caught in that shower? In many scenarios\, being unprepared for the unknown might only mean a dampening of our pride. But in others\, the cost of not understanding uncertainty can be catastrophic. \n\nRegister now
URL:https://australiandatascience.net/event/acems-virtual-public-lecture-a-song-of-wind-fire/
CATEGORIES:Webinar
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210623T093000
DTEND;TZID=Australia/Brisbane:20210623T103000
DTSTAMP:20210617T012300Z
CREATED:20210617T012259Z
LAST-MODIFIED:20210617T012300Z
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SUMMARY:Bayesian hierarchical stacking—All models are wrong\, but some are somewhere useful
DESCRIPTION:Bayesian hierarchical stacking—All models are wrong\, but some are somewhere useful\nStacking is a widely used model averaging technique. Like many other ensemble methods\, stacking is more effective when model predictive performance is heterogeneous in inputs\, in which case we can further improve the stacked mixture with a hierarchical model. In this talk I will focus on the recent development of Bayesian hierarchical stacking: an approach that locally aggregates models. The weight is  a function of data\, partially-pooled\, inferred using Bayesian inference\,  and can further incorporate other structured priors and complex data. I will also discuss some theory bounds: when and why model averaging is useful; what model dissimilarity metric is relevant to Bayesian ensembles. \nRegister now
URL:https://australiandatascience.net/event/bayesian-hierarchical-stacking-all-models-are-wrong-but-some-are-somewhere-useful/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210622T180000
DTEND;TZID=Australia/Brisbane:20210622T193000
DTSTAMP:20210604T042940Z
CREATED:20210602T231905Z
LAST-MODIFIED:20210604T042940Z
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SUMMARY:AI and the Future of Education
DESCRIPTION:AI and the Future of Education\nMonash Education\, in collaboration with the Monash Data Futures Institute\, is organizing a panel discussion on “AI and the future of education” with internationally acclaimed researchers who will cast a critical eye on the increasing attention being paid to AI-driven applications and systems in education. \nThe panel will explore questions like “what forms of AI technology are being implemented in education\, and what implications do they have for students\, teachers and education institutions?” and “how do the imagined educational benefits of AI contrast with the practical limitations of actually using these technologies?”. \nRegister now
URL:https://australiandatascience.net/event/ai-and-the-future-of-education/
CATEGORIES:Webinar
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