What we’re about
♥️ This meetup group is run by 100% volunteers who support the Seattle open source community. ✨ We’re a committed team, pouring our hearts into every event, made possible by the incredible generosity of our sponsors and their in-kind donations.🎗Our meetup group exclusively welcomes in-kind donations and does not accept monetary contributions. Despite our very limited resources, we’re always striving to make each event better than the last! 🥳
🌷Your reviews truly mean so much—they help us keep uplifting the incredible open source community and secure more in-kind donations!"
Mission: Our mission is to support and promote women and non-binary individuals who are practicing, studying or are interested in the fields of machine learning and data science.
WiMLDS is a community of women* interested in machine learning and data science. We host events which include talks by prominent data scientists, lightning talks, technical workshops and networking events. Our members include engineers, technologists, statisticians, students and many other professionals who work in data science or would like to transition into this field.
We create opportunities for women* to engage in technical and professional conversations in a positive, supportive environment by hosting talks by prominent female and non-binary data scientists, technical workshops, networking events and hack-a-thons. We are inclusive to anyone who supports our cause regardless of gender or technical background. However, in support of our mission, priority for certain events and opportunities will be given to women*.
• Follow us (https://twitter.com/WiMLDS_Seattle) on Twitter (or https://twitter.com/WiMLDS for the general account) or visit http://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.
* individuals who identify as female, non-binary, genderqueer, genderfluid, agender, and all minority genders
🚨 Attention
- Due to restrictions at our venue, strictly no children.
By being a member of **WiMLDS **and/or attending our events, you are agreeing to abide by WiMLDS Code of Conduct.
WiMLDS reserves the rights to create events and make changes at any time and date without prior notice.
Our Code of Conduct ( https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct ) is available online and applies to all our spaces, both online and off.
Content Disclaimer: All information provided in and by https://www.meetup.com/seattle-women-in-machine-learning-and-data-science/ and it's organizers is provided for information purposes only. Information is subject to change without prior notice. We make no guarantees of any kind including but not limited of either expressed or implied, concerning the accuracy, completeness, reliability, or suitability of the information. Any links to external websites of information provided or returned from web search engines are provided as a courtesy. They should not be construed as an endorsement by this entity of the content or views of the linked materials.
Our events may be recorded and shared publicly with others. By attending this event, you consent to being photographed, filmed, or recorded for promotional purposes.
Upcoming events
2
![PyData Seattle Conference 2025 💙 💚 by NumFOCUS [Community Partner]](https://secure.meetupstatic.com/photos/event/8/1/1/highres_531002065.jpeg)
PyData Seattle Conference 2025 💙 💚 by NumFOCUS [Community Partner]
Bellevue College, 3000 Landerholm Cir SE, Bellevue, WA, Bellevue, WA, USLast Chance to Join PyData Seattle Conference 2025! 🚀
📅 When: November 7–9, 2025
📍 Where: Bellevue College
🚀 Tickets: pydata.org/seattle2025
🌟 Keynotes:- Josh Starmer PhD is the creator of the YouTube channel, StatQuest with Josh Starmer.
- Change She CEO / Co-Founder of LanceDB
Join the Pacific Northwest’s leading data community this November. This year’s program is packed with hands-on tutorials, expert-led talks, and networking opportunities that bring together data scientists, engineers, researchers, and AI enthusiasts from across the region.
📆 Explore the schedule: pydata.org/seattle2025/schedule
🎟 Ready to register? Don’t wait, space is limited!
- Group rate: Bring your team and save when you register 3 or more attendees. Group tickets here
- Double the learning: Get discounted access to both PyData Seattle and AI by the Bay. Combo tickets here
Whether you’re diving deep into LLMs, scaling analytics infrastructure, or exploring open source tools that power modern data science, PyData Seattle is the place to connect, learn, and grow.
✨ 🚀 Register now before tickets sell out: pydata.org/seattle2025
All funds from ticket sales support NumFOCUS, a 501(c)(3) nonprofit dedicated to advancing open-source scientific computing such as Pandas, NumPy, Julia, SciPy, Sympy, scikit-learn, R project and many more!.
We can’t wait to see you in Bellevue!
For PyData Seattle Conference 2025, we are offering scholarship opportunities to those from underrepresented groups who may otherwise be unable to attend the conference.
Apply here at the Diversity section 🧡 https://pydata.org/seattle2025/about#overviewWhat Is PyData Seattle?
PyData Seattle 2025 is a 3-day in-person conference bringing together the global community of data scientists, data engineers, and developers of data analysis tools. Expect 400+ attendees from diverse domains, including Big Data, Data Science, Machine Learning, AI, and programming in Python, R, Julia, and more.Why Attend?
- Learn: Engage with live keynote sessions, 40-minute talks, 90-minute hands-on tutorials, and lightning talks.
- Connect: Network with fellow PyData enthusiasts and meet decision-makers in the Seattle tech community.
- Inspire: Share ideas, discover innovative tools, and explore cutting-edge techniques in data management, analytics, and visualization.
🌟 Key Topics
Explore the latest advancements in:- Machine Learning & Artificial Intelligence
- Predictive Modeling
- Data Mining
- Natural Language Processing
- And more!
PyData fosters collaboration among users and developers of open-source tools like Pandas, NumPy, SymPy, IPython, Jupyter, Matplotlib, and Julia.
🌈 Diversity Panel Event
Join our Diversity Panel, featuring a diverse array of experts in data science, ML, and AI. This session will highlight varied experiences and perspectives, fostering an inclusive community.🚀 Startup Time Panel Event
Discover the intersection of data science and entrepreneurship at our Startup Time Panel Event! Hear from founders, innovators, and data experts who are leveraging ML, AI, and open-source tools to build cutting-edge startups. This panel will explore challenges, successes, and strategies for applying data science in the startup ecosystem.🐍 Python Sprints Event
Contribute to the open-source Python ecosystem at our Python Sprints Event! Join developers of all skill levels in a collaborative coding session to work on projects like Pandas, NumPy, Jupyter, and more. Whether you’re fixing bugs, adding features, or improving documentation, this is your chance to make an impact. Mentors will be available to guide newcomers such as Python Core Developer C.A.M. Gerlach. Bring your laptop and enthusiasm!💚💙 Become a Sponsor!
Showcase your organization to 400+ data professionals and decision-makers. Sponsorship benefits include:- Increased visibility for your products and services.
- Access to the Seattle tech community.
- Support for NumFOCUS’s mission to advance open-source scientific computing.
Interested? Contact pydataseattle@gmail.com or fill out our sponsorship form.
About NumFOCUS
NumFOCUS is a 501(c)(3) nonprofit dedicated to supporting open-source scientific computing projects like Pandas, NumPy, Jupyter, and Julia. Our mission is to promote sustainable programming languages, open code development, and reproducible research.💛💜 Become a NumFOCUS Member!
Support the open-source data stack and help build an inclusive scientific community.
Join NumFOCUS Today🎥 Watch Past PyData Talks!
Get inspired by our library of PyData conference videos.
Explore PyData Videos https://www.youtube.com/@PyDataTVWhy PyData Seattle 2025?
- Community-Driven: Connect with passionate data enthusiasts.
- Cutting-Edge Content: Learn from experts in ML, AI, and data science.
- In-Person Experience: Engage face-to-face at Bellevue College.
Mark your calendars for November 7–9, 2025, and join us in Bellevue!
Follow us on X for updates. Questions? Email pydataseattle@gmail.com3 attendees
•OnlineTeaching Computers to Read: Dataset Curation Impact on Model Performance
OnlineWorkshop Summary: Successful AI solutions aren’t about chasing the newest model - it’s about solving the right problems in the right way. The book “Teaching Computers to Read” (out November 5 from CRC Press) focuses on what technical teams need to design, develop, deploy, and maintain useful NLP and AI solutions. Drawing on real-world experience and examples, the book offers actionable best practices to deliver adaptable, reliable AI systems that address business challenges with lasting, tangible value. In this tutorial, we will walk through one part of the Code Companion for the book. We will review the corpus distribution and variation, our annotated data distribution, and explore how our curated datasets impact the performance of different technical approaches, using information extraction as an example. The concepts covered in the tutorial are covered in more detail in the book, and there are additional exercises in the Code Companion for those interested in going beyond the tutorial session.
Prerequisites: To follow along, the prerequisites include cloning the code (link coming soon) from the "Teaching Computers to Read" Code Companion, installing the virtual environment, and downloading the relevant files from the Google Drive noted in the Readme.
Bio: Rachel Wagner-Kaiser has 15 years of experience in data and AI, entering the data science field after completing her PhD in astronomy. She specializes in building NLP solutions for real-world problems constrained by limited or messy data. Rachel leads technical teams to design, build, deploy, and maintain NLP solutions, and her expertise has helped companies organize and decode their unstructured data to solve a variety of business problems and drive value through automation. Rachel is also the author of the book "Teaching Computers to Read".
3 attendees
Past events
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