5 materials found
Difficulty level:
Awareness
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://griffithunilibrary.github.io/intro-text-mining-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;
Yuri Banens
Sharron Stapleton
Ben McRae
textual training materials
mbr
phd
ecr
researcher
support
Introduction to R
An introduction to R, for people with zero coding experience.
To be taught as a hands on workshop, typically as two half-days.
Developed by the Monash Bioinformatics Platform and taught as part of the Data Fluency program at Monash University. License is CC-BY-4. You are free to share and...
Keywords: R
Resource type: tutorial
Introduction to R
https://monashdatafluency.github.io/r-intro-2/
https://dresa.org.au/materials/introduction-to-r
An introduction to R, for people with zero coding experience.
To be taught as a hands on workshop, typically as two half-days.
Developed by the Monash Bioinformatics Platform and taught as part of the Data Fluency program at Monash University. License is CC-BY-4. You are free to share and adapt the material so long as attribution is given.
Paul Harrison paul.harrison@monash.edu
Paul Harrison
R
phd
ecr
researcher
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://doi.org/10.26180/15032688
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
Titus Tang
Deep learning, Machine learning
Research Data Governance
This video contains key information for those who make research data-related decisions. It will help project leaders to start investigating ways to develop their own data governance policy, roles and responsibilities and procedures with the input of appropriate stakeholders.
**Cite...
Keywords: data governance, research data
Resource type: video
Research Data Governance
https://youtu.be/K_xVQRdgCIc
https://dresa.org.au/materials/research-data-governance
This video contains key information for those who make research data-related decisions. It will help project leaders to start investigating ways to develop their own data governance policy, roles and responsibilities and procedures with the input of appropriate stakeholders.
**Cite as**
Australian Research Data Commons. (2021, June 30). Research Data Governance. Zenodo. https://doi.org/10.5281/zenodo.5044585
ARDC contact: https://ardc.edu.au/contact-us
Australian Research Data Commons
Max Wilkinson
Shannon Callaghan
Jo Savill
Kristan Kang
Kerry Levett
Keith Russell
Natasha Simons
data governance, research data
ecr
researcher
support
How can Software Containers help your Research?
This video explains software containers to a research audience. It is an introduction to why containers are beneficial for research. These benefits are standardisation, portability, reliability and reproducibility.
Software Containers in research are a solution that addresses the challenge of...
Keywords: Containers, software containers, reproducibility, replicable computational environment, software, research, reusable, cloud, standardisation
Resource type: video
How can Software Containers help your Research?
https://www.youtube.com/watch?v=HelrQnm3v4g
https://dresa.org.au/materials/how-can-software-containers-help-your-research
This video explains software containers to a research audience. It is an introduction to why containers are beneficial for research. These benefits are standardisation, portability, reliability and reproducibility.
Software Containers in research are a solution that addresses the challenge of a replicable computational environment and supports reproducibility of research results. Understanding the concept of software containers enables researchers to better communicate their research needs with their colleagues and other researchers using and developing containers.
**Cite as**
Australian Research Data Commons. (2021, July 26). How can software containers help your research?. Zenodo. https://doi.org/10.5281/zenodo.5091260
Contact us: https://ardc.edu.au/contact-us/
Australian Research Data Commons
Containers, software containers, reproducibility, replicable computational environment, software, research, reusable, cloud, standardisation
phd
ecr
researcher
support