What we’re about
This is a group for women and non-binary persons interested in Machine Learning and Data Science. We meet to socialize, and to discuss machine learning and data science in an informal setting with the purpose of building a community around women in these fields. We are openly inclusive of anyone who identifies as female, genderqueer or non-binary. Men who support our mission are invited to attend our meetups as guests of female members or with permission from the organizers (please send a message to introduce yourself!), though priority will be given to female members if an event is overbooked.
Our Code of Conduct applies to all our spaces, both online and off.
• The official twitter account for the Bay Area meetup is @WiMLDS_BayArea and our email is bayarea@wimlds.org.
• Follow @wimlds on Twitter for general WiMLDS news or visit wimlds.org to learn about our chapters in other cities.
• Women & non-binary folks are invited to join the global WiMLDS Slack group by sending an email to slack@wimlds.org.
Upcoming events (2)
See all- Paper Reading GroupLink visible for attendees
Who
Women and gender minorities. We are organizing this on our Slack, which is for women and gender minority members.What
Paper Reading/Presentation and Q&A Group to help people's projects or understanding of theory and practice in the industry. - 3 Sessions (March, April, May)Where
Zoom, No more than 2-4 people presenting on 2 main topicsStructure of Meeting
Length: 45 minutes max (total)
5 mins - (1) Intros
10 mins - (2) Presentations - 5 minutes per presenter
10 minutes - (3) Discussion5 minutes - (4) Q&A - What questions other people have, other paper ideas they can present or general questions related to academic papers/published books on AI/ML topics
Why/Purpose:
Learn from each other to present findings of various cutting edge/hot topics; ex. evaluation benchmarks of foundation models/other ML models, responsible AI etc.Style:
InformalApproach/Parameters:
Analyze Top Analyze Top 10 or more Papers from NeuralIPs 2023 or other places (Andrej Karpathy’s Discord channel or auto Arxiv generator)- Each month 2 people pick a paper to discuss, present informally bullet points (PPT presentation optional) not recorded,
- Q&A with presenter one what was valuable, what was not in each paper - what was questionable in accuracy/reproducible research, what was good and valuable and something we should learn from and apply to x y z method
Other Logistical Notes
Others can watch and learn people present, or they could just come in drop-in last 15 minutes to ask questionsHow to Join: Join WiMLDS Global Slack by sending an email to slack@wimlds.org and join the #2024-spring-papers-reading-group channel. If you can't or don't want to join Slack for some reason, send an email to info@wimlds.org to get connected to the organizer and receive a Zoom link.
- Double Feature: Production for Use and Accelerating Your Work with Streamlit450 Concar Dr, San Mateo, CA
Join us for this in-person event at Snowflake's Office. Enjoy a double-feature talk and an evening of networking. Small appetizers and drinks will be provided.
To get access to Snowflake's Office, you'll need to RSVP here.
The Talks
Production for Use - Complexity, Scaling, and Sensitivity
We talk about tools for data pipelines as if all data projects need the same tools. As soon as we think about this however, it's clear that data projects differ considerably in internal complexity, data scale challenges, sensitivity and team size.In this talk, I'll share a scorecard I've been contributing to, that helps us compare projects and identify what the most significant challenges are in a specific project. Then we'll talk about some Python or adjacent tools through this lens to identity whether a tool is more or less appropriate for different kinds of projects.
Accelerating your work with Streamlit (and GenAI)
Come hear Amanda, co-founder of Streamlit, talk about how Streamlit continues to evolve to accelerate data teams and make their lives a bit more fun. The talk will give background on Streamlit, examples of integrations with genAI libraries, and upcoming releases.Meet our speakers
Lisa Dusseault is the CTO of the Data Transfer Initiative, a nonprofit dedicated to the mission of empowering technology users by enabling them to transfer their data from one service to another. Ms. Dusseault previously served as the CTO and Co-Founder of Compaas. Prior to Compaas, Ms. Dusseault served in technical leadership roles at StubHub, Smule, and Microsoft among others, and spent several years as the Applications Area Director at the Internet Engineering Task Force, where she authored CalDAV and WebDAV standards and chaired IMAP and XMPP working groups.Amanda Kelly currently serves as a Product Director at Snowflake focused on all of Snowflake’s analytical product experiences – including Streamlit. Prior to Snowflake, she was the Co-Founder and COO of Streamlit (acquired by Snowflake). Amanda has also led product and
operations for several stealthy Google X projects and at Zoox (acquired by Amazon). Amanda has an MBA from Stanford GSB and holds several AV-related patents.Agenda
5:00 PM: Welcome, Small bites and drinks
5:30 PM: Lissa Dussault - Production for Use
6:15 PM: Amanda Kelly - Accelerating your work with Streamlit
7:30 PM: Event ends
