What we’re about
ODSC brings together the open source and data science communities with the goal of helping its members learn, connect and grow.
The focus of this Meetup group is to allow ODSC to work with Meetup groups, non-profits, and other organizations to present informative lectures, workshops, code sprints and networking events to help grow the use of open source languages and tools within the data science and data-centric community. As such, our specific goals are:
1. Build a collaborative group to work with other Meetup groups, non-profits, and other organizations.
2. Promote the use of open source languages and tools amongst data scientists and others.
3. Host educational workshops.
4. Spread awareness of new open source languages and tools that can be used in data science.
5. Contribute back to the open source community.
Who is this meetup for?
• Data engineers, analysts, scientists, and other practitioners
• R, Python and other software engineers who work with data or want to learn
• Data visualization developers and designers
• Non-technical team leads, executives, and other decision makers from data centric startups and large companies looking to utilize open source tools
Get Involved with our Meetups:
• Meetup/Webinar Speaker Submission Form https://forms.gle/STEDWxgWBMnLnt8F8
• Suggest a Meetup Topic Form
https://forms.gle/FAnBGMnC6puP1zLs6
• Volunteer Form
https://forms.gle/rJB2k8ZvU7mj1R3c8
• Host or Sponsor Form
https://forms.gle/bVdnzttfSuKkWrHq5
• Showcase your Startup Form
https://forms.gle/2Z31dmGPe7RTw28B9
ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q02zdcSk0
• Code of conduct: https://odsc.com/code-of-conduct/
Upcoming events (2)
See all- WEBINAR "Q&A session with NVIDIA"Link visible for attendees
Pre-registration is REQUIRED.
Add to your calendar - https://hubs.li/Q02Q_-sW0Ready to dive into the world of AI innovation?
Your hackathon journey begins with NVIDIA’s exclusive webinar on October 17th, where Kaggle Grandmaster Jiwei Liu and NVIDIA experts will answer all your questions about the upcoming virtual and in-person hackathons - https://hubs.ly/Q02QMQ--0
This is your chance to:
- Learn the essentials: Get insider tips on how to navigate the hackathon challenges and optimize your approach.
- Clarify expectations: Ask anything about the datasets, tools, and submission guidelines.
- Discover the $30,000 prize pool: Get a detailed breakdown of the prizes, which include cutting-edge GPUs, GTC passes, training, and more.More about speaker - https://www.kaggle.com/jiweiliu
Everyone is welcome! Whether or not you are planning to participate in the hackathon.
ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q02zdcSk0
• Code of conduct: https://odsc.com/code-of-conduct/ - Developing Equitable AI Diagnostics: A Technical Approach to Bias MitigationLink visible for attendees
Pre-registration is REQUIRED.
Add to your calendar - https://hubs.li/Q02R2NfK0Topic: "Developing Equitable AI Diagnostics: A Technical Approach to Bias Mitigation"
In this talk, we will explore the critical need for fairness in AI-driven healthcare, with a focus on mitigating bias in machine learning models. As AI systems become more integrated into healthcare diagnostics, addressing the disparities in model performance across diverse ethnic groups is paramount. This session will present a technical deep dive into the challenges of bias in medical imaging datasets and the resulting impact on healthcare outcomes for underrepresented populations.
We will begin by defining the types of bias commonly found in machine learning models, with a case study in skin cancer detection. We will demonstrate how training on imbalanced datasets exacerbates disparities in diagnosing skin cancer across different racial groups. Attendees will gain insight into practical techniques for rectifying these biases, including data augmentation, fairness-aware algorithms, and advanced evaluation metrics designed to assess model equity.
In addition to discussing technical solutions, we will also address the limitations and ethical considerations surrounding bias mitigation in healthcare AI, highlighting the importance of interdisciplinary collaboration in creating equitable diagnostic tools. By the end of the session, participants will be equipped with the knowledge to implement fairness techniques in their own AI models, promoting better outcomes for all patient populations.
Speaker's bio: Laura Montoya, Founder and Managing Partner of Accel Impact Organizations
Laura is a tech leader focused on social impact and ethical AI. She founded Accel Impact Organizations, including Accel AI Institute and LXAI. With a background in biology, physics, and human development, Laura has worked at top tech companies like Intuit and has been a leader in tech diversity initiatives. She's a frequent speaker at industry conferences and has been featured in major publications.
ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q02zdcSk0
• Code of conduct: https://odsc.com/code-of-conduct/