Über uns
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/Q023dNxK0
• Code of conduct: https://odsc.com/code-of-conduct/
This is PAID event. Pre-registration is required.
- IN-PERSON PASSES HERE - https://hubs.li/Q02bwp-f0
- VIRTUAL PASSES HERE - https://hubs.li/Q02bwnWb0
- Aix GEN AI SUMMIT PASSES HERE - https://hubs.li/Q02hy7jm0
Use COMMUNITY-EAST2024 - code for extra discount on any pass of your choice.
Join us for hundreds of hours of workshops, tutorials, and talks on Data Engineering, Generative AI, NLP&LLMs, MLOps&LLMOps, Machine Learning, Responsible AI, and more at ODSC East.
ODSC Keynotes & Track Keynotes:
- Anna Goldie, Senior Staff Research Scientist , Google DeepMind - Google Brain's ML for Systems Team Co-founder
- Alex Pentland, PhD, Professor, MIT | Director, MIT Connection And Human Dynamics Labs - One of world's most-cited computational scientists
- Kate Soule, Program Director For Generative AI Research , IBM - A Leader at the MIT-IBM Watson AI Lab
- Abeba Birhane, Senior Fellow, Mozilla Foundation | Asst. Prof., Trinity College Dublin - TIME's 100 Influential People in AI 2023
- Carolyn Rosé, PhD, Professor | Program Director, Carnegie Mellon University - Author of 100+ Cited Papers on AI
- Paul Hake, Principal AI Engineer, IBM - Recognized Expert in Gen AI and AI Governance
- Rudina Seseri, Founder And Managing Partner, Glasswing Ventures - Named as One of Business Insider's Top VCs
ODSC East’s schedule is now live!
Visit AI Expo Hall and engage with leading AI solution providers including IBM, SAS, PREFECT, HPCC Systems, Expanso, KNIME,Tangent Works, Dagster, Plotly, Xethub, Gurobi Optimization, Lightning AI, Covalent, and more, and learn about the products and solutions that will help you automate machine learning, optimize data science costs, and extract value from data, and much more. Free Expo Hall passes are available here - https://hubs.ly/Q02pSyP60
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/Q02mx9-s0
• Code of conduct: https://odsc.com/code-of-conduct/
Bevorstehende Events (4+)
Alles ansehen- Data Engineering Summit 2024Hynes Convention Center, Boston, MA
This is PAID event. Pre-registration is required. More info and RSVP form is here - https://hubs.ly/Q02grFz10
This exciting event brings together experts, professionals, and enthusiasts in data engineering.
Get ready for a day filled with insightful talks, interactive workshops, and valuable networking opportunities. Discover the latest trends, techniques, and tools in data engineering through engaging sessions led by industry leaders.
Whether you're a seasoned data engineer or just starting, this summit is the perfect place to expand your knowledge and connect with like-minded individuals. Don't miss this incredible opportunity to learn, grow, and have a blast at the Data Engineering Summit!
This is co-located event with Hybrid ODSC East 2024 on 23rd-25th April - https://hubs.li/Q027_nYw0
Use COMMUNITY-EAST2024 - code for extra discount on any pass of your choice.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/Q02hZrCD0
• Code of conduct: https://odsc.com/code-of-conduct/ - ODSC East 2024 | Data Science Training ConferenceHynes Convention Center, Boston, MA
This is PAID event. Pre-registration is required.
- IN-PERSON PASSES HERE - https://hubs.li/Q02bwp-f0
- VIRTUAL PASSES HERE - https://hubs.li/Q02bwnWb0
- Aix GEN AI SUMMIT PASSES HERE - https://hubs.li/Q02hy7jm0
Use COMMUNITY-EAST2024 - code for extra discount on any pass of your choice.
Join us for hundreds of hours of workshops, tutorials, and talks on Data Engineering, Generative AI, NLP&LLMs, MLOps&LLMOps, Machine Learning, Responsible AI, and more at ODSC East.
ODSC Keynotes & Track Keynotes:
- Anna Goldie, Senior Staff Research Scientist , Google DeepMind - Google Brain's ML for Systems Team Co-founder
- Alex Pentland, PhD, Professor, MIT | Director, MIT Connection And Human Dynamics Labs - One of world's most-cited computational scientists
- Kate Soule, Program Director For Generative AI Research , IBM - A Leader at the MIT-IBM Watson AI Lab
- Abeba Birhane, Senior Fellow, Mozilla Foundation | Asst. Prof., Trinity College Dublin - TIME's 100 Influential People in AI 2023
- Carolyn Rosé, PhD, Professor | Program Director, Carnegie Mellon University - Author of 100+ Cited Papers on AI
- Paul Hake, Principal AI Engineer, IBM - Recognized Expert in Gen AI and AI Governance
- Rudina Seseri, Founder And Managing Partner, Glasswing Ventures - Named as One of Business Insider's Top VCs
ODSC East’s schedule is now live!
Visit AI Expo Hall and engage with leading AI solution providers including IBM, SAS, PREFECT, HPCC Systems, Expanso, KNIME,Tangent Works, Dagster, Plotly, Xethub, Gurobi Optimization, Lightning AI, Covalent, and more, and learn about the products and solutions that will help you automate machine learning, optimize data science costs, and extract value from data, and much more. Free Expo Hall passes are available here - https://hubs.ly/Q02pSyP60
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/Q02mx9-s0
• Code of conduct: https://odsc.com/code-of-conduct/ - ODSC East 2024 Keynote: "Social and Ethical Implications of Generative AI"Link für Teilnehmer sichtbar
To access this session, please register here: https://hubs.li/Q02r1Hs00
Topic: "Social and Ethical Implications of Generative AI"
Speaker: Abeba Birhane, Senior Fellow in Trustworthy AI | Adjunct Lecturer/Assistant Professor, Mozilla Foundation | Trinity College Dublin
Abeba is a cognitive scientist, currently a Senior Advisor in AI Accountability at Mozilla Foundation and an Adjunct Assistant Professor at the School of Computer Science and Statistics at Trinity College Dublin, Ireland. She researches human behaviour, social systems, and responsible and ethical AI – work for which she was recently featured in Wired UK and TIME on the TIME100 Most Influential People in AI list. Birhane also serves on the United Nations Secretary-General’s AI Advisory Body and the newly-convened AI Advisory Council in Ireland.
Abstract:
As Artificial Intelligence systems pervade day-to-day life, the need for these systems to be robust, fair, accurate, and just has become of urgent importance. As the foundational backbone of AI systems, large scale datasets play a crucial role in the performance, accuracy, robustness, fairness and trustworthiness of AI systems.In this talk, we:
a) present work that highlights numerous concerns arising from large scale datasets,
b) discuss the downstream impact of such dataset on models (including the exacerbation of societal biases and negative stereotypes) and
c) review some approaches to both incremental improvements as well as shepherding broader structural change.Hybrid ODSC East 2024 on 23rd-25th April - https://hubs.li/Q027_nYw0
Use COMMUNITY-EAST2024 - code for extra discount on any pass of your choice.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/Q02r9VZM0
• Code of conduct: https://odsc.com/code-of-conduct/ - Talk "Deep Reinforcement Learning in the Real World: From Chip Design to LLMs"Link für Teilnehmer sichtbar
To access this session, please register here: https://hubs.li/Q02rF3Gl0
Topic: "Deep Reinforcement Learning in the Real World: From Chip Design to LLMs"
Speaker: Anna Goldie, Senior Staff Research Scientist at Google DeepMind
Anna works on Large Language Model (LLM) research in Gemini & Bard. Previously, she worked on RL for LLMs and retrieval-augmented LLMs at Anthropic and was co-founder/lead of the ML for Systems team in Google Brain. Her RL methods have been used in multiple generations of Google's flagship AI accelerator (TPU). She graduated from MIT with a Bachelors in Computer Science, a Bachelors in Linguistics, and a Master of Computer Science, and is a CS PhD Candidate in the Stanford NLP Group. She has published peer-reviewed articles in top scientific venues, including Nature, NeurIPS, ICLR, EMNLP, ISPD, ASPLOS, and MLCAD. She was named one of MIT Technology Review's 35 Innovators Under 35, and her work has been covered in various media outlets, including CNBC, IBTimes, IEEE Spectrum, MIT Technology Review, WIRED. and ABC News.
Abstract:
Reinforcement learning (RL) is famously powerful but difficult to wield, and until recently, had demonstrated impressive results on games, but little real world impact. I will start the talk with a discussion of RL for Large Language Models (LLMs), including scalable supervision techniques to better align models with human preferences (Constitutional AI / RLAIF). Next, I will discuss RL for chip floorplanning, one of the first examples of RL solving a real world engineering problem. This learning-based method can generate placements that are superhuman or comparable on modern accelerator chips in a matter of hours, whereas the strongest baselines require human experts in the loop and can take several weeks. This method was published in Nature and used in production to generate superhuman chip layouts for the last four generations of Google’s flagship AI accelerator (TPU).Hybrid ODSC East 2024 on 23rd-25th April - https://hubs.li/Q027_nYw0
Use COMMUNITY-EAST2024 - code for extra discount on any pass of your choice.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/Q02r9VZM0
• Code of conduct: https://odsc.com/code-of-conduct/