About us
R-Ladies Sydney welcomes members of all R proficiency levels, whether you're a new or aspiring R user, or an experienced R programmer interested in mentoring, networking & expert upskilling. Our community is designed to develop our members' R skills & knowledge through social, collaborative learning & sharing. Supporting minority identity access to STEM skills & careers, the Free Software Movement, and contributing to the global R community!
A local chapter of R-Ladies Global, R-Ladies Sydney exists to promote gender diversity in the R community worldwide. We are pro-actively inclusive of queer, trans, and all minority identities, with additional sensitivity to intersectional identities. Our priority is to provide a safe community space for anyone identifying as a minority gender who is interested in and/or working with R. As a founding principle, there is no cost or charge to participate in any of our R-Ladies communities around the world.
We are part of the Global R-Ladies group- https://www.rladies.org. You can access our presentations, R scripts, and Projects on our Github account and follow us on twitter to stay up to date about R-Ladies news!
Email: sydney@rladies.org
Blog: https://rladiessydney.org/
Twitter: @RLadiesSydney
Github: https://github.com/rladiessydney
PS Community Policies & Code of Conduct:
The leadership, mentoring & teaching roles within this Community are held exclusively by minority genders (majority gender speakers may be allowed/invited as one-off guests in exceptional circumstances at the leadership team's discretion). Due to unexpected demand, we have opened learning participation to all genders, dependent on initial and on-going vetting by the leadership team. However, the stated priority of the R-Ladies communities is the development & support specifically of those identifying as a minority gender, and we, therefore, reserve the right to guard this interest through whatever measures the leadership team deems appropriate. Anyone involved with R-Ladies Sydney is expected to fully respect each other, the mandate of this community, and the goodwill on which R-Ladies is founded, or face expulsion/a penalty of any form, at the discretion of the leadership team.
Full community guidelines are found here: https://github.com/rladies/starter-kit/wiki
PPS Photos, Films and all other media/recordings:
Photos, Films, and all other media/recordings: photographs and/or video/other media will be taken at events held by this community. By taking part in an R-Ladies Sydney event you grant the community organizers full rights to use the images resulting from the photography/video filming/media, and any reproductions or adaptations of the images for publicity, fundraising or other purposes to help achieve the community’s aims. This might include (but is not limited to), the right to use them in their printed and online publicity, social media, press releases and funding applications. If you do not wish to be recorded in these media please inform a community organizer.
Upcoming events
1
Using LLMs from R: Gemini API, RAG Workflows & RStudio
·HybridGoogle, 48a pirrama rd ,, Pyrmont, AUJoin us for a hands-on workshop designed specifically for researchers and students using R that want to leverage AI in their workflows. This workshop will cover the fundamentals of introducing Large Language Model queries into your analysis pipelines.
Expect an intensive session as we work through provided R Scripts to demonstrate typical AI workflows. Participants will gain a practical understanding of:- Using local Large Language Models: Learn about the benefits and considerations of using local models privately for tasks like text summarisation, data generation, and more, all within your R environment.
- Querying cloud-based models with an API: Access and interact with state-of-the-art (SOTA) LLMs enabling you to tap into advanced AI capabilities for tasks such as sentiment analysis, complex data extraction, and creative text generation, without needing extensive local computing resources.
- AI for Science: Get hands-on experience using AI in various scientific domain problems with specific examples you can replicate to your workflows.
The course will be all hands-on exercises and live coding demonstrations to reinforce your learning and build confidence.
Requirements:- A Google account to use Colab with R https://colab.research.google.com/ (or you can use RStudio locally).
- An API key from https://aistudio.google.com/apikey to use web based models.
- A Kaggle account (you can use your Google credentials) to download AI models https://www.kaggle.com/
- Familiarity with R is recommended - but we will walk through the details.
We encourage you to arrive 10-15 mins early on the day of the event to ensure minimal delays due to the environment setup.
17 attendees
Past events
65
