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)

Upcoming events (5+)

ODSC East Ignite Accelerate AI Webinar Warmup

Needs a location

ODSC East is getting closer! We want to invite you to participate in ODSC East's Ignite Accelerate AI Webinar Warmup. This event will feature four 10-minutes sessions presented by our distinguished speakers listed below. These presentations will give attendees a preview of what can be expected at ODSC East Accelerate AI Business Summit. This four-day conference will feature over 50+ business sessions to choose from and 500+ business delegates. To access this webinar, please register using the link below: https://attendee.gotowebinar.com/register/7143418591311016715 Date: March 27th, 2019 Time: 1 pm - 2 pm EST Full Agenda Detail: Session 1 - Adopting a Machine Learning Mindset: How to Discover, Develop, and Deliver Automation Solutions Company-Wide (10 Minutes) Abstract: As Machine Learning becomes a core component of any forward-looking company, how can we engage the entire workforce to help with ML and automation initiatives? This talk will cover how at Square we have adopted a "machine learning mindset" by 1. providing training to all employees (both technical and non-technical folks) on what ML is and how it works, including current applications and ethical considerations, 2. conducting structured brainstorming sessions to elicit automation opportunities, where everyone can contribute what ML could mean for their team or their customers, and 3. implementing a subset of those ideas by partnering with infrastructure, operations, and product teams, resulting in improved risk management, more efficient internal operations, and novel customer-facing product features. Session 2 - Building an Analytics Team (10 Minutes) Speaker: Hillary Green-Lerman, Senior Curriculum Lead, DataCamp Abstract: Based on her experience of building analytics teams from the ground up, Hillary will walk through the process of creating an analytics team. Session 3 - Building and Managing World-Class Data Science Teams (Easier Said Than Done) (10 Minutes) Speaker: Conor Jensen, Customer Success Team Lead, Dataiku Abstract: Despite the promise and opportunities of data science, many organizations are failing to see a return on their investment. The key issue holding organizations back is a lack of good data science management. This manifests in failure to effectively build and manage teams. In this workshop, we will go through a methodological approach for helping managers identify the needs of their organization and build the appropriate team. Session 4 - Integrating Data Science into Commercial Pharma: The Good, The Bad, and The Validated (10 Minutes) Speaker: Adam Jenkins, Ph.D., Data Science Lead, Biogen Abstract: One of the most difficult industries for data science to take hold and gain effectiveness is the world of commercial pharma/biotech. This talk will talk in depth about steps that companies in this space can take to make the most out of their data science teams and out of their data in general. We will dive into these issues through the context of how to bring the industry from one of “old school” sales and marketing techniques into one where machine learning can make a tangible top and bottom line impacts. Session 5 - AI and Value-Based Care: Reducing Costs and Enhancing Patient Outcomes (10 Minutes) Speaker: Jennifer Kloke, Ph.D., VP of Product innovation, Ayasdi Abstract: In this talk, Dr. Jennifer Kloke will walk through how healthcare institutions small and large will be able to apply artificial intelligence in the pursuit of value-based care. She can discuss the strategy, implementation, and results seen to date and go over how these advances are transforming the healthcare industry. ODSC Links: • Get free access to more talks like this at LearnAI: https://learnai.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI/ • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science/ • East Conference Apr 30 - May 3: https://odsc.com/boston

Ethical Large-Scale Artificial Intelligence within Sports

We want to invite you to participate in ODSC Webinar! Speaker: Aaron Baughman Aaron Baughman, AI Architect, Master Inventor, IBM, will talk about how unintended bias and unethical Artificial Intelligence (AI) technologies can be detected by fairness metrics and corrected with mitigation techniques. Fair computational intelligence is important because AI is augmenting human tasks and decisions within every facet of life. As a core component of society, sports and entertainment are becoming driven with machine learning algorithms. Throughout the talk, he will show examples of using an open source library called IBM AI Fairness 360 and the IBM OpenScale cloud service to provide highly veracious insights. To access this webinar, please register using the link below: https://register.gotowebinar.com/register/3641976533635582477 Date: April 3rd 2019 Time: 2 - 3 pm EST Agenda Detail: Session: Ethical Large-Scale Artificial Intelligence within Sports Abstract: Unintended bias and unethical Artificial Intelligence (AI) technologies can be detected by fairness metrics and corrected with mitigation techniques. Fair computational intelligence is important because AI is augmenting human tasks and decisions within every facet of life. As a core component of society, sports and entertainment are becoming driven with machine learning algorithms. For example, over 10 million ESPN fantasy football players use Watson insights to pick their roster week over week. A fair post processor ensures NFL players, irrespective of the team assignment, are projected for an impartial boom in play so that owners avoid basing their team roster decisions on biased insights. This is critically important because users spent over 7.7 billion minutes on the ESPN Fantasy Football platform during the 2018 season. In another example, automated video highlight generation at golf tournaments should be contextually fair. Golf player biographical data, game play context and weather information should not skew deep learning excitement measurements. An overall player video highlight excitement score that includes gesture, crowd noise, commentator tone, spoken words, facial expressions, body movement and 40 situational features is continually debiased. The resulting highlights are pulled into personalized highlight reels and stored on a web accelerator tier. Throughout the talk, I will show examples of using an open source library called IBM AI Fairness 360 and the IBM OpenScale cloud service to provide highly veracious insights. ODSC Links: • Get free access to more talks like this at LearnAI: https://learnai.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI/ • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science/ • East Conference Apr 30 - May 3: https://odsc.com/boston

Going Spatial:How to handle a Spatial DS project&Building an Amazon.com for Data

Agenda: 6:30pm - 7:00pm - ODSC Intro, Food & Refreshments. 7:00pm - 7:40pm - Speaker One and Q&A 7:40 - 8:20 - Speaker Two and Q&A 8:20 - 8:40 - Networking IMPORTANT: Please bring your photo ID and sign in at the front desk. Speaker One: Dongjie Fan - Data scientist at CARTO https://www.linkedin.com/in/dongjie-fan/ Topic: Going Spatial - How to handle a Spatial Data Science project Bio: Dongjie Fan is a data scientist in CARTO. His background is Statistics and Urban Informatics. And His work focuses on large size geospatial data processing as well as applying statistical learning methods to solve prediction, inference and optimization problems in spatial data science field. Abstract: In this talk, Dongjie will talk you through how to scope a spatial data science project and share some obstacles when his team handle analytical geospatial problems in practice. The talk will start with a project sharing including data enrichment, large geospatial data processing, statistical learning methods in spatial data science field. Also he will introduce some relevant tools for data processing and visualization and other spatial data science projects that his team has been working on. Speaker Two: Julia Ingrid Lane, Professor at NYU’s Wagner School of Public Service https://wagner.nyu.edu/community/faculty/julia-lane Topic: Building an Amazon.com for Data: Interacting with a New Data Tool Bio: Julia Ingrid Lane, Professor at NYU’s Wagner School of Public Service, runs the Administrative Data Research Facility, where she pushes the boundaries of cutting-edge data science for the benefit of governments and researchers everywhere. Abstract: Researchers and analysts who want to use data for evidence and policy cannot easily find out who else worked with the data, on what topics and with what results. As a result, good research is underused, great data go undiscovered and are undervalued, and time and resources are wasted redoing empirical work. Our vision is to build an Amazon.com for data. We invited data science teams to compete against each other to develop an algorithm capable of detecting mentions of datasets in publication text and associate further information with these mentions. We are now challenging the data science community to validate the results of the competition. The interactive presentation will demo the results and ask the audience to provide feedback. Going forward, algorithms like these will help link data to research both retrospectively – past publications without documented relationships to datasets – and prospectively – suggesting to researchers uploading their papers that they link to documented datasets that seem to be mentioned in their manuscript. ODSC Links: • Get free access to more talks like this at LearnAI: https://learnai.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI/ • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science/ • East Conference Apr 30 - May 3: https://odsc.com/boston

ODSC East 2019

Hynes Convention Center Boston

This is a paid event, you must register here: https://hubs.ly/H0f-D3w0 5th Annual ODSC East, ODSC East 2019 in Boston. About the Conference. This year’s 2019 ODSC East brings together the most influential data scientists, practitioners, innovators, and thought leaders in Data Science, Artificial Intelligence, and Big Data. ODSC East showcases the best and the brightest when it comes to Data Science, including many open source data science pioneers. This 4-day event will feature 200+ sessions: 100+ talks, 75 hands-on workshops, 55 intensive training sessions, and 10 keynotes. Training Sessions & Workshops Enhance your data science career with 55 training sessions taught by world-class data science instructors, in small class sizes. Here you'll strengthen your technical skills and boost your professional profile through intense, hands-on training led by industry experts. Further your data science knowledge and connect with like-minded individuals at the many conference talks and workshops. Tools, Topics, and Languages Impress your boss and colleagues with the skills you gain at ODSC East. Here’s just a sample of the tools, topics, and languages we'll be covering in 4 days: Topics: Deep learning, Machine learning, Data Visualization, Predictive Analytics, Natural Language Processing, Big Data, Artificial Intelligence Languages: Python, R Julia, Scala, Pig/Hive/NoSQL Tools: Apache Spark, MLlib, Tensorflow, Caffe, Scikit-learn, Azure ML, Amazon ML, H20.ai, Neo4J, D3.js, R-Shiny, Hadoop In addition to these data science core topics, we’ve organized 8 tracks, each highlighting their own unique collaborations and convergences. Machine Learning & Deep Learning / Learn the latest models, advancements & trends Research Bridge / Hear from top academics and researchers about the latest developments Data Science Kickstart / Learn the essentials for your data science career Data Science at Scale / Witness the intersection of big data and data analytics Data Visualization / Design compelling graphics and tell stories with data Open Data Science / Real-world applications of the most current and key data science topics, tools, and languages Management, Practice & DataOps / Managing the next wave of innovation Business & Leadership / Building an AI-driven enterprise Rockstar Speakers We’re gathering the best and brightest minds in data science for you. Learn the newest data science trends, insights from 200+ industry experts. Please visit our event website for a complete list. Networking Opportunities Connect with 7,500 of your data science peers from around the world at networking opportunities like: Daily Coffee Breaks / Review the talks over coffee Career Fair / Cross paths with startups and Fortune 500 companies looking to hire talented data scientists Office Hours Session / Drop in and bring your questions, big and small Share a meal and ideas with like-minded individuals at Dinner with Data Scientists. (This a self-organized event. ODSC suggests the venue and provides a signup sheet. Each individual is responsible for their own dinner cost.)

Past events (52)

ODSC East 2019 Warm-Up Webinar: Open Source

Needs a location

Photos (90)