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:

• Speaker Form ( https://docs.google.com/a/odsc.com/forms/d/1trkCoecAMa8za_ZzfN5bW6ZNBaRlmqJSQvuME_2nbJA/edit?usp=drive_web ) - Submit a talk, tutorial, or panel.

• Suggest a Meetup Topic Form ( https://docs.google.com/forms/d/1rEjO3UMMXRXtY8Yr_J_jj3ebYwsIFqcGA6FZzWK4rd0/edit )

• Volunteer Form ( https://docs.google.com/forms/d/1Vu3B72avz2I1xx618pEFGsuywZE9t4n78br9vSEX9oE/edit )

• Host or Sponsor Form ( https://docs.google.com/forms/d/1eyM9hJ3l8TlNmw35re65mH7mFCmsPoRZ1p5RJQEVhnk/edit )

• Showcase your Startup Form ( https://docs.google.com/forms/d/1oz8A4fbfe6HHs71v4nMpcf9FP_kpS9CcCfd3qIBS5HU/edit )

Get free access to more talks like this at LearnAI

· LearnAI: https://learnai.odsc.com/

· Facebook: https://www.facebook.com/OPENDATASCI/

· Twitter: https://twitter.com/odsc & @odsc ( https://twitter.com/odsc )

· LinkedIn: https://www.linkedin.com/company/open-data-science/

· Slack Channel: http://bit.ly/2RkOf9l

Upcoming events (5+)

Webinar “XPRIZE Rainforest: Harnessing Data for Good”

To access this webinar, please register here: https://aiplus.odsc.com/courses/xprize-rainforest-harnessing-data-for-good Topic: XPRIZE Rainforest: Harnessing Data for Good Speaker: Peter Houlihan - Technical Lead at Rainforest XPRIZE https://www.linkedin.com/in/peter-houlihan-2a038a53/ Peter Houlihan specializes in planning and leading expeditions into understudied and threatened rainforests all over the world for conservation. Regularly operating in more than 20 countries across Africa, the Americas, and Asia, Peter is passionate about working with local scientists and communities, and inspiring others to learn about our natural world. A tropical ecologist and conservation scientist by training, Peter is a Senior Research Fellow with UCLA’s Center for Tropical Research, a frequent visiting scientist at the Smithsonian Tropical Research Institute in Panama, International Advisor for the Borneo Nature Foundation, and an Adjunct Professor for Johns Hopkins University instructing international graduate-level field courses in tropical ecology and conservation. Globally, Peter's research, conservation work, and science communication have helped lead to the establishment of new protected areas and the documentation of species new to science. Abstract: Rainforests are the most diverse, complex, and imperiled terrestrial ecosystems on Earth. Despite their critical importance to the livelihoods of local communities, harboring immense biodiversity, regulating climate, and being the origin of most modern medicines, rainforests are undervalued, understudied, and overexploited. The Rainforest is dense, vast, and home to notoriously harsh environmental conditions, all presenting barriers for current technology and research. The 5-year $10M XPRIZE Rainforest attempts to solve this problem by improving our understanding of rainforest ecosystems. The competition is challenging teams to integrate current and emerging technology such as data science, artificial intelligence, machine learning, robotics, and remote sensing to survey biodiversity in multiple stories of the rainforest and to use data to deliver insights in near real-time that will reveal the true value of standing forests, ultimately leading to their sustainable use and preservation globally. The ability to leverage new tools to survey rainforest biodiversity in harsh environmental conditions and apply data to rapidly produce new insights in unprecedented detail will lead to scalable technological innovations, new scientific discoveries, and support the sustainable use and well-being of standing rainforests for the benefit of humanity. Use discount code WEBINAR2021 to get an additional discount on your Virtual ODSC East 2021 pass - http://bit.ly/38CX7hO ODSC Links: • Get free access to more talks/trainings like this at AI+ Training platform: https://aiplus.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: http://bit.ly/2RkOf9l • East Conference March 30th - April 1st: https://odsc.com/boston/ • Europe Conference June 8th - 10th: https://odsc.com/europe/ • West Conference November 15th - 18th: https://odsc.com/california/ • Code of conduct: https://odsc.com/code-of-conduct/

A Data Science Playbook for XAI - Navigating Predictive & Interpretable Models

To access this webinar, please register here: https://aiplus.odsc.com/courses/data-science-playbook-for-explainable-ai-navigating-predictive-and-interpretable-models Topic: A Data Science Playbook for Explainable AI - Navigating Predictive and Interpretable Models Speaker: Joshua Poduska - Chief Data Scientist at Domino Data Lab https://www.linkedin.com/in/joshpoduska/ Josh Poduska is the Chief Data Scientist at Domino Data Lab. He has 18 years of experience in the analytics space, particularly with designing and implementing data science solutions in the manufacturing and public sector domains. He has also led data science teams and strategy for several analytical software companies. Josh has a Masters in Applied Statistics from Cornell University. Abstract: Model ethics, interpretability, and trust will be seminal issues in data science in the coming decade. This technical talk discusses traditional and modern approaches for interpreting black box models. Additionally, we will review cutting edge research coming out of academia and industry. This new research reveals holes in traditional approaches like SHAP and LIME when applied to some deep net architectures. It also introduces a new approach to explainable modeling which optimizes for a balance of interpretability and accuracy rather than viewing interpretability as only a post-modeling exercise. We provide step-by-step guides that practitioners can use in their work to navigate this interesting space. We review code examples of modern interpretability techniques and provide notebooks for attendees to download. Use discount code WEBINAR2021 to get an additional discount on your Virtual ODSC East 2021 pass - http://bit.ly/38CX7hO ODSC Links: • Get free access to more talks/trainings like this at AI+ Training platform: https://aiplus.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: http://bit.ly/2RkOf9l • East Conference March 30th - April 1st: https://odsc.com/boston/ • Europe Conference June 8th - 10th: https://odsc.com/europe/ • West Conference November 15th - 18th: https://odsc.com/california/ • Code of conduct: https://odsc.com/code-of-conduct/

Webinar “How to Manage ML at scale in CPG”

Online event

We want to invite you to participate in the FREE ODSC Webinar “How to Manage ML at scale in CPG”! Data is the new oil and companies across various industries are moving towards data driven decision making. This session covers the landscape from a CPG perspective to showcase the power of MLOps in managing ML practice in a Fortune 500 company. We draw parallels to our experience (use case: Running effective Trade Promotions) with one of our clients to contextualize the challenges faced by Data Science & Business Leaders in their day-to-day. Also, in a world where ML Platforms focus on enabling Data Scientists to build more and learn more, business leaders are somewhere losing the race. This gap can be bridged with a verticalized MLOps platform - what goes into building one and what is the need which is hiding in plain sight? Date: January 28th, 2021 Time: 11:00 am - 12:00 pm EST To access this webinar, please register here: https://aiplus.odsc.com/courses/how-to-manage-ml-at-scale-in-cpg The webinar will be presented by Pavan Nanjundaiah - Head of Product Engineering at Tredence Inc. and Vamsi Krishna Bhupasamudram - CPG & Retail Consulting at Tredence Inc. Pavan Nanjundaiah - Leading a machine learning based analytical product platform that specializes in ML Model Management (MLOps) and Data Quality Management. Responsibilities include designing the core product platform and managing a team of Data Scientists, Data Engineers and Architects. Experienced in delivering large Data Engineering/Data Science projects for Fortune 500 clients using cloud platforms like Microsoft Azure, AWS and Big Data technologies Vamsi Krishna Bhupasamudram - AI Consulting leader with 12+ years of rich experience of partnering with Fortune Global 500 companies across Food & Beverages, CPG and Retail. Functional Expertise: Marketing Strategy & Execution, Merchandising, Customer Experience, Hyper Personalization. Use discount code WEBINAR2021 to get your Virtual ODSC East 2021 pass with an additional 10% OFF. ODSC Links: • Get free access to more talks/trainings like this at AI+ Training platform: https://aiplus.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: http://bit.ly/2RkOf9l • East Conference March 30th – April 1st, 2021: https://odsc.com/boston/ • Europe Conference June 8th – 10th, 2021: https://odsc.com/europe/ • West Conference November 15th – 18th, 2021: https://odsc.com/california/ • Code of conduct: https://odsc.com/code-of-conduct/

Free Ai+ Career Lab&Expo 2021

Online event

AI+ Careers Lab & Expo 2021, taking place on February 3rd, is ideal for job seekers from both the tech and business fields to engage with top employers in the data science field and open up amazing career opportunities. Consider attending if you’re a developer, marketer, data scientist, software engineer, data engineer, data analyst, business analyst, product manager, or in another related field. Don’t miss the chance to get in touch with 10+ hiring partners who will be seeking talented individuals to fill their open data science positions - reach out to them virtually - no matter where you are in the world. You can check more about AI+Career Lab&Expo 2021 here - https://getaiplus.com/event/ This is a free event. Registration is required. ODSC Links: • Get free access to more talks/trainings like this at AI+ Training platform: https://aiplus.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: http://bit.ly/2RkOf9l • East Conference March 30th – April 1st, 2021: https://odsc.com/boston/ • Europe Conference June 8th – 10th, 2021: https://odsc.com/europe/ • West Conference November 15th – 18th, 2021: https://odsc.com/california/ • Code of conduct: https://odsc.com/code-of-conduct/

Past events (155)

Photos (118)