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)

Accelerate the AI/ML Lifecycle with an Open Source Platform

We want to invite you to participate in the FREE ODSC Webinar “Accelerate the AI/ML Lifecycle with an Open Source Platform”! Data scientists desire a self-service, cloud-like experience to access ML modeling tools, data, & compute resources to rapidly build, scale, reproduce, & share ML modeling results with peers & software developers. Open source platforms build on Kubernetes & containers provide desired agility, flexibility, scalability, & portability for data scientists to train, test, & deploy ML models quickly, without IT dependency. The session will provide an overview of containers and Kubernetes, and how these technologies can help solve the challenges faced by data scientists, ML engineers, and application developers. Next, we will review the key capabilities required in a platform to help data scientists easily use technologies like Jupyter Notebooks, ML frameworks, programming languages to innovate faster. Finally we will share the open source platform options and the enterprise-level support available. Key Takeaways 1. Containers and kubernetes platforms accelerate ML workflows, and streamline collaboration with software developers 2. Requirements for an AI platform 3. Best practices and gotchas around operationalizing containers and kubernetes for ML workflows based on real world deployments Date: July 2 Time: 1 pm - 2 pm EDT To access this webinar, please register here: https://aiplus.odsc.com/courses/accelerate-the-ai-ml-lifecycle-with-an-open-source-platform The webinar will be presented by Pete Brey. Pete Brey is a deeply experienced Sales and Marketing executive with over 25 years of experience in the technology industry. In his current role at Red Hat, he is responsible for sales and marketing of Big Data solutions focused on Data Analytics, Artificial Intelligence, Machine Learning, and Internet of Things. In this role, Pete helps the world’s largest companies in diverse industries such as financial services, retail, automotive, and telecommunications understand how data can be transformed into information to help them make more accurate and agile decisions to stay ahead of the competition. What sets Pete apart is his breadth of sales and marketing experience coupled with his ability to go deep on a variety of technologies and to crisply explain how technology can solve real world business challenges. The Big Data solutions Pete is developing and selling at Red Hat are based upon Red Hat OpenShift together with Red Hat Ceph massively scalable cloud object storage. Use discount code - Meetup2020 - to get 10% off on your pass for Virtual Conference Europe and Virtual Conference West. 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 • Europe Conference 17th–19th Sept 2020: https://odsc.com/europe/ • West Conference Oct 27th – 30th, 2020: https://odsc.com/california/ • Code of conduct: https://odsc.com/code-of-conduct/

Responsible AI: hype vs. reality by Fiddler Labs (an ODSC Partner)

Join the webinar organized by ODSC partner - Fiddler Labs Register here: https://www.fiddler.ai/resources/webinars/responsible-ai Title: Responsible AI: hype vs. reality and designing responsibly at every stage of AI AI is increasingly being applied to business-critical use cases, but the highest-performing algorithms are often black boxes, leading to a lack of transparency. Businesses, consumers, and regulators are calling for more transparency and visibility into AI solutions. To enable businesses to build responsible AI that is transparent and accountable, Fiddler Labs is hosting a panel of Responsible AI experts to discuss the best ways to build responsible, accountable, and transparent AI. What you’ll learn: - Dissecting Responsible AI: what’s hype vs. reality and how to implement this accurately - Designing for Responsible AI: where to start and how to integrate responsible elements into existing systems - Cultural impact: how to navigate cultural changes when building responsible AI systems - Use cases and examples: learn from our panel of experts on how they approached the problem, solutions and tools they used, and what the future holds

An Introduction to Event Data Modeling in Cloud Data Warehouses

We want to invite you to participate in the FREE ODSC Webinar “An Introduction to Event Data Modeling in Cloud Data Warehouses”! Owning your own data stack has become extremely popular in recent years. Companies are moving away from pulling numbers from packaged solutions because they want more insight in their own data as well as a single source of truth for the business decisions they make. But how do you get there? In this webinar we'll look at: What is data modeling? - Definitions - Business logic Why do data modeling? - Benefits - Use cases How to get started with data modeling. - Business requirements - Data concepts Date: July 7 Time: 1 pm - 2 pm EDT To access this webinar, please register here: https://aiplus.odsc.com/courses/an-introduction-to-event-data-modeling-in-cloud-data-warehouses The webinar will be presented by Nienke Bos. Nienke is Data Consultant at Snowplow Analytics. Snowplow is a data delivery platform that collects and operationalizes behavioral data, at scale. With a love for sharing information and ideas, Nienke has helped many data teams improve their capability by advising on implementation, tracking design and data modelling. While Nienke studied Neurobiology at the University of Utrecht, she soon switched to technology, analytics and e-commerce. Use discount code - Meetup2020 - to get 10% off on your pass for Virtual Conference Europe and Virtual Conference West. 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 • Europe Conference 17th–19th Sept 2020: https://odsc.com/europe/ • West Conference Oct 27th – 30th, 2020: https://odsc.com/california/ • Code of conduct: https://odsc.com/code-of-conduct/

Putting Machine Learning Models into Production on MPP Platforms

We want to invite you to participate in the FREE ODSC Webinar “Putting Machine Learning Models into Production on MPP Platforms”! Machine learning has the potential to transform businesses due to its ability to deliver non-obvious, valuable insights from massive amounts of data. There are multiple programming languages and tools like Python and TensorFlow which are helping data scientists create ever sophisticated machine learning models. However, putting these models into production in hybrid architectures and multi cloud environments in the enterprise requires data science teams to handle major issues including scalability, speed and massive data movements between different platforms. While there are distributed analytics databases designed to specifically handle massive workloads with high concurrency, they usually have limited set of machine learning capabilities. What if there is a way to combine the power and flexibility of machine learning tools with the speed and scalability of the massively parallel processing analytical databases? In this talk, we will demonstrate how you can combine machine learning tools like Python and TensorFlow with a massively parallel processing analytics platform to fully leverage the potential of your big data, breaking free of common speed, security and deployment constraints by putting your models into production across hundreds of nodes in a cluster. Date: July 14 Time: 1 pm - 2 pm EDT To access this webinar, please register here: https://aiplus.odsc.com/courses/putting-machine-learning-models-into-production-on-mpp-platforms The webinar will be presented by Waqas Dhillon. Waqas is a Technical Product Manager for Machine Learning at Vertica. He drives the development of distributed in-database machine learning algorithms and the integrations with open source tools and platforms including Python and Tensorflow. He is passionate about the productization of machine learning models in enterprise environments. Previously, Waqas has worked with CPG and telecommunications companies in the use of big data analytics for consumer research and revenue growth. Use discount code - Meetup2020 - to get 10% off on your pass for Virtual Conference Europe and Virtual Conference West. 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 • Europe Conference 17th–19th Sept 2020: https://odsc.com/europe/ • West Conference Oct 27th – 30th, 2020: https://odsc.com/california/ • Code of conduct: https://odsc.com/code-of-conduct/

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