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Difficulty level: Awareness 

and

Authors: Dow, Ellen (orcid: 0000-000...  or Sharron Stapleton  or Titus Tang 

Introduction to text mining and analysis

In this self-paced workshop you will learn steps to: 
- Build data sets: find where and how to gather textual data for your corpus or data set.  
- Prepare data for analysis: explore useful processes and tools to prepare and clean textual data for analysis
- Analyse data: identify different...

Keywords: textual training materials

Resource type: tutorial

Introduction to text mining and analysis https://dresa.org.au/materials/introduction-to-text-mining-and-analysis In this self-paced workshop you will learn steps to:  - Build data sets: find where and how to gather textual data for your corpus or data set.   - Prepare data for analysis: explore useful processes and tools to prepare and clean textual data for analysis - Analyse data: identify different types of analysis used to interrogate content and uncover new insights s.stapleton@griffith.edu.au; y.banens@griffith.edu.au; textual training materials mbr phd ecr researcher support
Getting Started with Deep Learning

This lecture provides a high level overview of how you could get started with developing deep learning applications. It introduces deep learning in a nutshell and then provides advice relating to the concepts and skill sets you would need to know and have in order to build a deep learning...

Keywords: Deep learning, Machine learning

Resource type: presentation

Getting Started with Deep Learning https://dresa.org.au/materials/getting-started-with-deep-learning This lecture provides a high level overview of how you could get started with developing deep learning applications. It introduces deep learning in a nutshell and then provides advice relating to the concepts and skill sets you would need to know and have in order to build a deep learning application. The lecture also provides pointers to various resources you could use to gain a stronger foothold in deep learning. This lecture is targeted at researchers who may be complete beginners in machine learning, deep learning, or even with programming, but who would like to get into the space to build AI systems hands-on. datascienceplatform@monash.edu Deep learning, Machine learning