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3 events found

Target audience: facilities staff  or researchers 

  • 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
  • Introduction to Deep Learning for Social Sciences

    9 - 11 October 2024

    Introduction to Deep Learning for Social Sciences https://dresa.org.au/events/introduction-to-deep-learning-for-social-sciences This masterclass is an introduction to deep learning applications in the social sciences. It offers a step-by-step guide to working with basic classification tasks, image recognition using convolutional neural networks (CNNs), and natural language processing (NLP) with recurrent neural networks (RNNs). The course utilizes Python, TensorFlow, and Google Colab but does not require prior coding experience. These foundational tools provide practical experience in applying essential deep learning techniques to the social sciences domain. This masterclass is part of the ACSPRI suite of courses in social data science and does not require prior knowledge of machine learning or Python programming. 2024-10-09 09:30:00 UTC 2024-10-11 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] researchersHDR studentsPhD studentsSocial Scientists 12 workshop open_to_all Deep learning PythonCNNNLPRNNNeural networks
  • 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
  • Introduction to Deep Learning for Social Sciences

    9 - 11 October 2024

    Introduction to Deep Learning for Social Sciences https://dresa.org.au/events/introduction-to-deep-learning-for-social-sciences This masterclass is an introduction to deep learning applications in the social sciences. It offers a step-by-step guide to working with basic classification tasks, image recognition using convolutional neural networks (CNNs), and natural language processing (NLP) with recurrent neural networks (RNNs). The course utilizes Python, TensorFlow, and Google Colab but does not require prior coding experience. These foundational tools provide practical experience in applying essential deep learning techniques to the social sciences domain. This masterclass is part of the ACSPRI suite of courses in social data science and does not require prior knowledge of machine learning or Python programming. 2024-10-09 09:30:00 UTC 2024-10-11 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] researchersHDR studentsPhD studentsSocial Scientists 12 workshop open_to_all Deep learning PythonCNNNLPRNNNeural networks
  • 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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