Name: SheffeildR Hacktoberfest Kickoff
Start: 2024-10-04T16:00:00.000Z
End: 2024-10-04T17:30:00.000Z
Location: Regent Court

This 2-hour session will cover the basics of R, a powerful language for statistical computing and graphics. Whether you're a complete beginner or have some programming experience, this webinar is designed to give you a solid foundation in R.
Topics to be covered:

* What is R and why use it?
* Installing R and RStudio
* Basic R syntax and data types
* Creating and manipulating vectors and data frames
* Introduction to basic statistical functions
* Creating simple visualizations

Unijos R Users

Iko Musa

Vimagh Solomon 

Mercy Olokpo

Introduction to R

Online event

It has been two years since Quarto became the most popular reproducible publication tool in data science and the R community. However, Quarto is so much more than just a publication tool! I started using it in late 2022, and it has helped me become more organized, productive and connected with people in the data science community.
In this talk, I will not focus on the technical aspects of 'how' to use this tool. In the first part of the talk, I would like to report the latest news and trends seen in the useR conference and Posit conf, the two biggest global R events. In the second part, I will share my own experience in using Quarto for my career: from learning new skills, collaborating with co-workers, teaching university courses networking and building a community (CAMIS collaboration). It is a powerful tool to share your work, and make new connections - both for work and for fun! I hope this talk will provide you with some new ideas on how to use this fantastic technology to fulfil your goals.

Kolkata R UseR Group

Samrit Pramanik

Marylène Henry

Shayani Banerjee

Use Quarto, Make Friends

In this session, we will learn how to use [quarto](https://quarto.org/) and [docker](https://www.docker.com/) to produce a formatted, reproducible, and executable conference or journal article. Doing this avoids directly using LaTeX, and allows us to dynamically produce visualisations and statistics on the fly, cache models, and reproduce the computational environment the paper is written in. This currently represents a gold standard of reproducibility.

This will be an **interactive workshop**! make sure to **bring your laptop**, and install R, Rstudio, and [Docker Desktop](https://www.docker.com/products/docker-desktop/)

Tea and Coffee will be provided courtesy of the R Consortium.

**Location**: University Place, Room 5.212

R User Group at the University of Manchester

RUM University of Manchester

Artur

Alireza Mahboub-Ahari

Executable and Reproducible Papers with Quarto and Docker

University Place

Gradient Boosting Machines (GBMs) in the Age of LLMs and ChatGPT

Szilard Pafka, PhD
Chief Scientist, Epoch

Gradient Boosting Machines (GBMs) have been considered (in the last decade) as the best machine learning algorithm (in terms of highest accuracy) for supervised learning/predictive analytics with structured/tabular data (widely encountered in business applications). Are they still relevant in the age of Large Language Models (LLMs) and ChatGPT? This talk will tackle this very question and will also present updates to the author's GBM-perf benchmark (available on GitHub) including the newest results of training XGBoost and LightGBM on monster CPU servers (192 cores on c7i.metal-48xl and c7a.metal-48xl) and powerful GPUs (A100, H100).

Bio:
Szilard studied Physics in the 90s and obtained a PhD by using statistical methods to analyze the risk of financial portfolios. He worked in finance, then in 2006 he moved to become the Chief Scientist of a tech company in Santa Monica, California doing everything data (analysis, modeling, data visualization, machine learning, data infrastructure etc). He was the founder/organizer of several meetups in the Los Angeles area (R, data science etc) and the data science community website datascience.la for more than a decade until he relocated to Texas in 2021. He is the author of a well-known machine learning benchmark on github (1000+ stars), a frequent speaker at conferences (keynote/invited at KDD, R-finance, Crunch, eRum and contributed at useR!, PAW, EARL, H2O World, Data Science Pop-up, Dataworks Summit etc.), and he has developed and taught graduate data science and machine learning courses as a visiting professor at two universities (UCLA in California and CEU in Europe).

LinkedIn: https://www.linkedin.com/in/szilard
Twitter: https://twitter.com/SzilardPafka/
Github: https://github.com/szilard/

R Meetup - Real Data Science USA (formerly LA R Users Group)

Szilard Pafka

Anil Gandhi

Gradient Boosting Machines (GBMs) in the Age of LLMs and ChatGPT

We kick off this semester’s Sheffield R User Group meetings in October with a series of hackathons to participate in [Hacktoberfest 2024](https://hacktoberfest.com/).

Hacktoberfest is an annual “*month-long celebration of all things open-source*” that runs across [GitHub](https://github.com/) and [GitLab](https://gitlab.com/) which “*welcome[s] anyone who is interested in diving in, and everyone who’s already part of the open-source software community.*”. **These sessions are open to all regardless of your skill level and experience with writing R code, documentation or using [Git](https://git-scm.com/), [GitHub](https://github.com/) or [GitLab](https://gitlab.com/).**

We have planned four meetings across the month of October to help and support each other in contributing to open-source projects related to the [R](https://www.r-project.org/) language and ecosystem including [rOpenSci](https://ropensci.org/) and [Bioconductor](https://www.bioconductor.org/). In the first session on Friday 2024-10-04 we will go over the basics of Git and contributing via [GitHub](https://github.com/)/[GitLab](https://gitlab.com/) to open-source projects and how to go about finding R projects with issues that you could tackle and solve as part of Hacktoberfest 2024.

The remaining sessions will be held weekly on Fridays at lunch time from 12:30-13:30 in the University of Sheffield’s Students Union. During these sessions you can come along and seek support and offer help to those who have questions, whether that is with some aspect of R, documentation, continuous integration, linting, tests or anything you have been working on as part of Hacktoberfest.

## Schedule

| **Date/Time** | **Venue** | **Google Meet** |
| --------- | ----- | ----------- |
| [2024-10-04 17:00-18:30](https://calendar.google.com/calendar/event?action=TEMPLATE&tmeid=MzFhcW0zZnBwOWI3Mm52c3JoMnFzcjU3Mm4gbi5zaGVwaGFyZEBzaGVmZmllbGQuYWMudWs&tmsrc=n.shephard%40sheffield.ac.uk) | Blue Room G22 Computer Science, Regents Court | [https://meet.google.com/pjo-rskm-ktk](https://meet.google.com/pjo-rskm-ktk) |
| [2024-10-11 12:30-13:30](https://calendar.google.com/calendar/event?action=TEMPLATE&tmeid=M2VrcHI0cXZhNGt2cjlhZGlydTVhcDdia2NfMjAyNDEwMTFUMTEzMDAwWiBuLnNoZXBoYXJkQHNoZWZmaWVsZC5hYy51aw&tmsrc=n.shephard%40sheffield.ac.uk&scp=ALL) | VR4 Meeting Room, University of Sheffield Students Union | [https://meet.google.com/yjs-psie-vjh](https://meet.google.com/yjs-psie-vjh) |
| [2024-10-18 12:30-13:30](https://calendar.google.com/calendar/event?action=TEMPLATE&tmeid=M2VrcHI0cXZhNGt2cjlhZGlydTVhcDdia2NfMjAyNDEwMTFUMTEzMDAwWiBuLnNoZXBoYXJkQHNoZWZmaWVsZC5hYy51aw&tmsrc=n.shephard%40sheffield.ac.uk&scp=ALL) | VR4 Meeting Room, University of Sheffield Students Union | [https://meet.google.com/yjs-psie-vjh](https://meet.google.com/yjs-psie-vjh) |
| [2024-10-25 12:30-13:30](https://calendar.google.com/calendar/event?action=TEMPLATE&tmeid=M2VrcHI0cXZhNGt2cjlhZGlydTVhcDdia2NfMjAyNDEwMTFUMTEzMDAwWiBuLnNoZXBoYXJkQHNoZWZmaWVsZC5hYy51aw&tmsrc=n.shephard%40sheffield.ac.uk&scp=ALL) | VR5 Meeting Room, University of Sheffield Students Union | [https://meet.google.com/yjs-psie-vjh](https://meet.google.com/yjs-psie-vjh) |

## Preparation

To participate you will need a [GitHub](https://github.com/) and/or a [GitLab](https://gitlab.com/) account and to register between 2024-09-23 and 2024-10-31 on the [Hacktoberfest site](https://hacktoberfest.com/participation/).

## Learn More

There are a bunch of resources available at [Resources for Beginners](https://hacktoberfest.com/participation/#beginner-resources) if you are unfamiliar with [Git](https://git-scm.com/) or [GitHub](https://github.com/)/[GitLab](https://gitlab.com/) but these aren’t essential as we are aiming to cover the basics and help you over the course of these events.
If you are interested in making contributions to R core - the code and documentation that gets distributed as base R - check out the information from [R Contributor Site](https://contributor.r-project.org/).

SheffieldR - Sheffield R Users Group

Neil Shephard

SheffeildR Hacktoberfest Kickoff

Regent Court

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