[{"id":14,"title":"Visualisation and Storytelling","url":"https://staging.dresa.org.au/materials/visualisation-and-storytelling.json","description":"This workshop explores how data visualisation techniques could be utilised to better understand data and to communicate research efforts and outcomes. The workshop covers a broad range of techniques from simple and static 2D graphics to advanced 3D visualisations in order to provide a broad overview of the tools available for data analysis, presentation and storytelling. We explore, among others, animated charts and graphs, web visualisation tools such as scrollytellers, and the possibilities of 3D, interactive, and even immersive visualisations. We use real world, concrete examples along the way in order to tangibly illustrate how these visualisations can be created and how viewers perceive and interact with them. We also introduce the various tools and skill sets you would need to be proficient at presenting your data to the world.\r\nBy the conclusion of this workshop, you would gain familiarity with the various possibilities for presenting your own research data and outcomes. You would have a more intuitive understanding of the strengths and weaknesses of various modes of data visualisation and storytelling, and would have a starting point to obtain the right skill sets relevant to developing your visualisations of choice.","doi":"","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":13,"title":"Introduction to Gadi - Part 2","url":"https://staging.dresa.org.au/materials/introduction-to-gadi-part-2.json","description":"Gadi is Australia’s most powerful supercomputer, a highly parallel cluster comprising more than 150,000 processor cores on ten different types of compute nodes. Gadi accommodates a wide range of tasks, from running climate models to genome sequencing, from designing molecules to astrophysical modelling. \r\nIntroduction to Gadi - Part 2 naturally follows on from Part 1, and is designed for beginners or users looking for a refresher on Gadi basics.\r\nTo register for this training, click here: https://bit.ly/IntroGadi2","doi":"","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":12,"title":"Deep Learning for Natural Language Processing","url":"https://staging.dresa.org.au/materials/deep-learning-for-natural-language-processing.json","description":"This workshop is designed to be instructor led and consists of two parts.\r\nPart 1 consists of a lecture-demo about text processing and a hands-on session for attendees to learn how to clean a dataset.\r\nPart 2 consists of a lecture introducing Recurrent Neural Networks and a hands-on session for attendees to train their own RNN.\r\nThe Powerpoints contain the lecture slides, while the Jupyter notebooks (.ipynb) contain the hands-on coding exercises.\r\n\r\nThis workshop introduces natural language as data for deep learning. We discuss various techniques and software packages (e.g. python strings, RegEx, NLTK, Word2Vec) that help us convert, clean, and formalise text data “in the wild” for use in a deep learning model. We then explore the training and testing of a Recurrent Neural Network on the data to complete a real world task. We will be using TensorFlow v2 for this purpose.","doi":"","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":10,"title":"Introduction to Deep Learning and TensorFlow","url":"https://staging.dresa.org.au/materials/introduction-to-deep-learning-and-tensorflow.json","description":"This workshop is intended to run as an instructor guided live event and consists of two parts. Each part consists of a lecture and a hands-on coding exercise.\r\nPart 1 - Introduction to Deep Learning and TensorFlow\r\nPart 2 - Introduction to Convolutional Neural Networks\r\nThe Powerpoints contain the lecture slides, while the Jupyter notebooks (.ipynb) contain the hands-on coding exercises.\r\n\r\nThis workshop is an introduction to how deep learning works and how you could create a neural network using TensorFlow v2. We start by learning the basics of deep learning including what a neural network is, how information passes through the network, and how the network learns from data through the automated process of gradient descent. Workshop attendees would build, train and evaluate a neural network using a cloud GPU (Google Colab).\r\nIn part 2, we look at image data and how we could train a convolution neural network to classify images. Workshop attendees will extend their knowledge from the first part to design, train and evaluate this convolutional neural network.","doi":"","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":9,"title":"Introduction to Gadi - part 1","url":"https://staging.dresa.org.au/materials/introduction-to-gadi-part-i.json","description":"Gadi is Australia’s most powerful supercomputer, a highly parallel cluster comprising more than 150,000 processor cores on ten different types of compute nodes. Gadi accommodates a wide range of tasks, from running climate models to genome sequencing, from designing molecules to astrophysical modelling. \r\nIntroduction to Gadi - Part 1 is designed for new users, or users that want a refresher on the basics of Gadi.\r\nTo register for this training, click here: https://bit.ly/IntroGadi1\r\nIf you have any questions regarding this training, please contact training.nci@anu.edu.au.","doi":"","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":8,"title":"Galaxy 101 For Everyone","url":"https://staging.dresa.org.au/materials/galaxy-101-for-everyone.json","description":"This practical aims at familiarising you with the Galaxy user interface. It will teach you how to perform basic tasks such as importing data, running tools, working with histories, creating workflows and sharing your work.","doi":"","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]}]