What we’re about
San Diego Machine Learning is an active group for AI & data science education and networking. We are machine learning practitioners, students, and enthusiasts who want to get together to share, discuss and try various techniques -- and possibly hack on the occasional challenge. We have a wide range of experience levels with machine learning either through work, school or personal exploration. We currently have a monthly papers & lightning talks event, book clubs, project time, networking, and a mix of other ML events. Everyone is welcome!
For more information about our AI talks and ML book club, please visit our GitHub repositories: https://github.com/SanDiegoMachineLearning/talks and https://github.com/SanDiegoMachineLearning/bookclub
Upcoming events (2)
See all- Monthly ML Papers and Lightning Talks -- In-Person & HybridALX Apartments, San Diego, CA
ML Papers and Lightning Talks
Join us for our monthly event to discuss interesting ML papers and other ML lightning talks. People are welcome to stay after the talks for networking. Agenda:
- Large Concept Models: Language Modeling in a Sentence Representation Space (https://arxiv.org/abs/2412.08821)
- Kaggle competition recap: BYU - Locating Bacterial Flagellar Motors 2025
Please message Ted if you have a paper or other topic you can share in a future lightning talk.
* Please make sure to read the instructions for joining the event below.
Agenda:
- 12:00 - 1:15 pm -- Presentations and discussions (both in person & zoom)
- Time permitting -- Additional Q&A, networking
Links to notes/slides and videos of prior meetups are available on the SDML GitHub repo https://github.com/SanDiegoMachineLearning/talks
Location:
We are continuing to look for the optimal in-person site. For now, we will be meeting inside the ALX Apartments downtown. A temporary code to enter the ALX building will be posted on Slack the morning of the meeting.Please Note: There are two steps required to join the online meetup:
- You must go to our Slack community and ask for the password for the meeting. Link to join is below.
- You must have a Zoom login in order to join the event. A free Zoom account will work. If you get an error message joining the Zoom, please login to your account on the Zoom website then try again.
- Use this Zoom link: https://us06web.zoom.us/j/82891977558
Community:
Join our slack channel for questions and discussion about what's new in ML:
https://join.slack.com/t/sdmachinelearning/shared_invite/zt-33z4811de-F_YKuCsQH1ev3TLSnQQfgQ - Computer Vision -- Kickoff Session -- HybridALX Apartments, San Diego, CA
Computer Vision
We are starting a new series on computer vision! This will be mix of content from the book Computer Vision: Algorithms and Applications by Richard Szeliski and the workshop series Practical Computer Vision by Antonio Rueda-Toicen. A PDF copy of the book is downloadable from the book website (https://szeliski.org/Book/), and the workshops are available on GitHub (https://github.com/andandandand/practical-computer-vision).
The kickoff session will introduce the format of the series, talk about the history of computer vision, and provide an opportunity to meet other learners. Everyone is welcome to join.
Come join us in person or online. Please make sure to read the instructions for joining the event below.
Agenda:
- 12:00 - 1:30 pm -- Welcome and introduction
- Time permitting -- Additional Q&A, networking
Links to notes/slides and videos of prior meetups are available on the SDML GitHub repo https://github.com/SanDiegoMachineLearning/bookclub
Location:
We are continuing to look for an ideal in-person site. For now, we will be meeting inside the ALX Apartments downtown. A temporary code to enter the ALX building will be posted on Slack the morning of the meeting.Please Note: There are two steps required to join the online meetup:
- You must go to our Slack community and ask for the password for the meeting. Link to join is below.
- You must have a Zoom login in order to join the event. A free Zoom account will work. If you get an error message joining the Zoom, please login to your account on the Zoom website then try again.
- Use this Zoom link: https://us06web.zoom.us/j/82891977558
Community:
Join our slack channel for questions and discussion about what's new in ML:
https://join.slack.com/t/sdmachinelearning/shared_invite/zt-33z4811de-F_YKuCsQH1ev3TLSnQQfgQ
