What we’re about
San Diego Machine Learning is an active group with many events. 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 weekly book club, project time, and a mix of other ML webinars. Everyone is welcome!
For more information about our data science talks and ML book club, please visit our GitHub respositories: https://github.com/SanDiegoMachineLearning/talks and https://github.com/SanDiegoMachineLearning/bookclub
Upcoming events (2)
See all- In-Person & Hybrid -- ML Papers and Lightning TalksALX Apartments, San Diego, CA
In-Person -- ML Papers and Lightning Talks
Join us for our monthly event to discuss interesting ML papers and other ML lightning talks. Agenda TBD and will be updated here. Note that from now on the talks will start at 12:00 pm (not at 1:00 pm, like previous months). People are welcome to stay after the talks for networking.
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 a good in-person site. For now, we will be meeting inside the ALX Apartments downtown.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-2b2207qhg-Iyys1g0Ot6iErTYMioV9Mg - Mathematics for Machine Learning -- Analytic Geometry -- In-Person & HybridALX Apartments, San Diego, CA
Mathematics for Machine Learning
Analytic GeometryWe have a new book club to discuss the classic Mathematics for Machine Learning. This a fantastic book to learn fundamentals or deepen your understanding of the math that underlies most of ML. A PDF copy of the book is available at https://mml-book.github.io/.
This session will discuss chapter 3 about analytic geometry. New people are welcome to join, and this chapter does not require having read the previous chapters.
Please join us in person or online. To get the most out of this session, try to read the chapter and do the exercises. Come to the meetup with your questions.
* Please make sure to read the instructions for joining the event below.
Agenda:
- 12:00 - 1:30 pm -- Discuss chapter and exercises
- 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 a good in-person site. For now, we will be meeting inside the ALX Apartments downtown.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-2b2207qhg-Iyys1g0Ot6iErTYMioV9Mg
