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 (4+)
See all- Machine Learning Case StudiesAquillius, San Diego, CA
Machine Learning Case Studies
In-person recommendedTypical books and classes will teach you how to train a linear regression or a deep neural network model, but they will leave many important questions unanswered. Questions like:
- Is this problem a fit for ML?
- How do I formulate this as a modeling task?
- How do I measure performance?
- What should I do to try to improve my model?
- Am I done, or should I keep trying to improve my model?
We are developing a new tool for training data scientists and ML engineers to answer these questions using ML case studies. This session will be a group discussion. Try to attend in person if you are able. We are still refining the teaching process, and it won't be the same for remote attendees.
This month will be another opportunity to practice understanding parts of the ML lifecycle. Attendees will discuss and brainstorm individually and in groups. This will be an exercise in critical thinking.
We invite learners, mentors, and managers to all participate, and to provide feedback to help us refine the process.
* Please make sure to read the instructions for joining the event below.
Agenda:
- 12:00 - 1:15 pm -- Case study presentation and group discussions (both in-person & zoom, but in-person recommended)
- 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 have started meeting at our new location at Aquillius.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 - *NEW COMPETITION* Kaggle Competition Coworking - In-person - Week 2Aquillius, San Diego, CA
Please bring a laptop and be ready to work, this is a technical session where we will try to code and work on a kaggle competition
Kaggle Competition
https://www.kaggle.com/competitions/cmi-detect-behavior-with-sensor-dataFor this cycle we will try to work on the CMI - Detect Behavior with Sensor Data. No experience on this kind of problem is required, we can set you up on Kaggle and start learning about the problem together. You don't need your own GPU to try this problem out, you can get by with what is available for free through Kaggle. We will try to make this as approachable as possible
Agenda:
For this meeting we will be getting everyone setup on Kaggle and begin digging into the competition. Since this is the first session we will have an intro to Kaggle as well as some discussion about how to be successful and maximize your learning potential from this experience.
Location
Aquilius Coworking space
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 - Computer Vision -- Foundations of CV and Neural Networks Workshops -- HybridAquillius, San Diego, CA
Computer Vision
Workshop 1 - Foundations of Computer Vision and
Workshop 2 - Introduction to Neural NetworksWe 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).
June 28 will be our first hands-on workshop session. 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 -- Content questions and discussion
- 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 meeting at our new location at Aquillius in Rancho Bernardo.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 - *NEW COMPETITION* Kaggle Competition Coworking - In-person - Week 3Aquillius, San Diego, CA
Please bring a laptop and be ready to work, this is a technical session where we will try to code and work on a kaggle competition
Kaggle Competition
https://www.kaggle.com/competitions/cmi-detect-behavior-with-sensor-dataFor this cycle we will try to work on the CMI - Detect Behavior with Sensor Data. No experience on this kind of problem is required, we can set you up on Kaggle and start learning about the problem together. You don't need your own GPU to try this problem out, you can get by with what is available for free through Kaggle. We will try to make this as approachable as possible
Agenda:
For this meeting we will be getting everyone setup on Kaggle and begin digging into the competition. Since this is the first session we will have an intro to Kaggle as well as some discussion about how to be successful and maximize your learning potential from this experience.
Location
Aquilius Coworking space
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
