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Keywords: Setonix  or MPI  or Data Science 

  • Machine Learning for Data Science: Surpervised Learning Techniques

    27 September - 4 October 2024

    Machine Learning for Data Science: Surpervised Learning Techniques https://dresa.org.au/events/machine-learning-for-data-science-surpervised-learning-techniques This masterclass is an introduction to supervised machine learning techniques for data science. It will provide an interactive step-by-step guide to running some of the standard statistical regression and classification machine learning models that every data scientist should know. This course will use the R software. This masterclass is part of the ACSPRI suite of courses in social data science and is specially designed for those who want a gentle introduction to supervised machine learning models in data science. 2024-09-27 09:30:00 UTC 2024-10-04 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersHDR studentsPhD students 12 workshop open_to_all Machine LearningData Sciencesocial data science

  • Predictive Analytics for Data Science: Linear and Non-Linear Modelling

    8 - 9 November 2024

    Predictive Analytics for Data Science: Linear and Non-Linear Modelling https://dresa.org.au/events/predictive-analytics-for-data-science-linear-and-non-linear-modelling This masterclass is an introduction to linear and non-linear predictive models. It will provide an interactive step-by-step guide to running these models and key diagnostics using the R software platform. 2024-11-08 09:30:00 UTC 2024-11-09 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 10 workshop open_to_all Predictive modelsPredictive AnalyticsData Sciencesocial data science

  • Machine Learning for Data Science: Surpervised Learning Techniques

    27 September - 4 October 2024

    Machine Learning for Data Science: Surpervised Learning Techniques https://dresa.org.au/events/machine-learning-for-data-science-surpervised-learning-techniques This masterclass is an introduction to supervised machine learning techniques for data science. It will provide an interactive step-by-step guide to running some of the standard statistical regression and classification machine learning models that every data scientist should know. This course will use the R software. This masterclass is part of the ACSPRI suite of courses in social data science and is specially designed for those who want a gentle introduction to supervised machine learning models in data science. 2024-09-27 09:30:00 UTC 2024-10-04 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersHDR studentsPhD students 12 workshop open_to_all Machine LearningData Sciencesocial data science

  • Predictive Analytics for Data Science: Linear and Non-Linear Modelling

    8 - 9 November 2024

    Predictive Analytics for Data Science: Linear and Non-Linear Modelling https://dresa.org.au/events/predictive-analytics-for-data-science-linear-and-non-linear-modelling This masterclass is an introduction to linear and non-linear predictive models. It will provide an interactive step-by-step guide to running these models and key diagnostics using the R software platform. 2024-11-08 09:30:00 UTC 2024-11-09 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 10 workshop open_to_all Predictive modelsPredictive AnalyticsData Sciencesocial data science

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