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What we’re about
Meet and discuss applications and algorithms related to machine learning and AI. Use our speaker sign-up form.
Other Cool Melbourne Meetups
MLOps: https://www.meetup.com/melbourne-mlops-community1/
BeerOps: https://www.linkedin.com/company/beerops/?originalSubdomain=au
Melbourne Automation Meetup: https://www.meetup.com/melbourne-automation-meetup/
Upcoming events (4+)
See all- How to get a job in Artificial Intelligence (TICKETS VIA HUMANITIX)Library at the Dock, Docklands
NOTE: tickets are only available via humanitix at this link: https://events.humanitix.com/how-to-get-a-job-in-ai/tickets
You need a humanitix ticket to attend.
Breaking into Machine Learning can be challenging. There is a lot of advice online but much of it is difficult to verify. In this event we hope to answer one question: what are employers actually looking for in AI/ML/Data Science candidates in 2024?
Join us to hear from representatives from two leading tech companies, Microsoft and V2 Digital, who are actively hiring for AI positions in Melbourne right now. Both speakers will share their personal experience in hiring for ML/AI roles and offer tips on what aspiring candidates need to do to make a strong impression.
Tickets come with pizza and non-alcoholic drinks 🍕 (big thanks to V2 Digital for supporting us)Agenda:
1730 - Arrival and Networking
1745 - Presentation by Rajesh Mathur
1800 - Presentation by Steve Tzortzidis
1815 - Dinner & networking
1830 - Brief Panel Discussion
1845 - End of official schedule
1930 - End of event - Natural Language Processing for Accessibility912 Collins St, Docklands
The MLAI Meetup is a community for AI researchers and professionals which hosts monthly talks on exciting research. Our format is:
- 6:00 - 6:20: Socializing
- 6:20 - 6:40: Announcements and AI news
- 6:40 - 7:40: Talk(s) and Q&A
- 7:40 - 8:00 Networking
- 8:00: Head to the nearest pub for dinner
Natural Language Processing for Accessibility
Presenter: Dave Morrissey
Abstract: This presentation gives an overview of advantages and limitations current NLP (Natural Language Processing) techniques on a character, word and sentence level, and introduces fundamental concepts like: word/sentence vectors, how to process sentences in different languages, Part-of-Speech (PoS) tagging/dependency parsing, and uses of Large Language Models (LLM's) in converting language styles.
Most of the World's population does not speak English, and there is a need to make the World's information more accessible: ML/AI provides part of the answer. However, many models, data resources and online services remain English-centric. As part of his passion project LangLynx.com, Dave for years has been curating resources and techniques that enable people to analyse, learn and translate between language pairs, faster and more effectively, even when one of the two languages may not be English.
Speaker Bio: Dave works at Telstra doing full-stack development on all things Unified Communications. He is currently doing a Graduate Certificate of AI at La Trobe University, and previously has completed a Bachelor of IT in Cybersecurity at Monash. He can read/speak Japanese and Chinese Mandarin fluently, is currently learning Korean, and follows dramas, music and news in different languages. Other interests: working on side projects related to data, which have included a Chinese handwriting recognition engine using CNN's, global Covid-19 data collection and geographical visualisation on a subnational level, and a TypeScript diagramming library maxGraph (forked from the JavaScript library mxGraph, which is used on diagrams.net).