What we're about

With the rapid growth of Artificial Intelligence comes rising demand for AI engineers. Ubiquitous, AI-driven software that utilizes deep learning and machine learning models to enable conversational AI, autonomous machines, machine vision, and other AI technologies, requires serious engineering. These projects of the future promise to be some of the most exciting jobs in software engineering today.

An AI Engineer works at the intersection of engineering and data science. At ODSC, build on your coding skills to engineer the next generation of artificial intelligence-enabled software. From leading experts, you will learn everything from data wrangling, modeling, and workflow to essential deep learning and machine learning frameworks.

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)

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/

ODSC East 2021 - Virtual Data Science Training Conference

This is a paid event. Registration is REQUIRED. Use - MEETUP2021 - discount code to get additional 10% OFF - http://bit.ly/37G3IJn You can check more about ODSC East 2021 conference here - https://opendatascience.com/whats-new-to-odsc-east-2021/ About the Conference Accelerate your data science knowledge, training, and network. All in one event. ODSC East 2021 is one of the largest applied data science conferences in the world. Our speakers include core contributors to many open source libraries and languages. Attend ODSC East 2021 and learn the latest AI & data science topics, tools, and languages from some of the best and brightest minds in the field. Learn from leading 280 experts in hands-on trainings, workshops and talks on everything you need in applied data science and artificial intelligence. Topics: Recommendation Systems, Transfer Learning, Machine Vision, Autonomous Machines, Conversational AI, Data Science Research, Artificial Intelligence, Speech Recognition, Unsupervised Learning, Image Classification, Self-driving Vehicles, and Machine Translation 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/

Past events (58)

Webinar “XPRIZE Rainforest: Harnessing Data for Good”

Photos (92)