What we're about

The focus of this meetup group is to present informative lectures, hands-on tutorials, 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. Host data science talks specific to our goals
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
• Data visualization developers and designers
• Non-technical team leaders, executives, and other decision makes from data-centric startup and companies looking to utilize open source

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

· LearAI: 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/

· EAST: https://odsc.com/boston

Upcoming events (3)

Automated and Interpretable Machine Learning

CIC Cambridge

Speaker: Francesca Lazzeri, Ph.D., Senior Machine Learning Scientist at Microsoft https://www.linkedin.com/in/francescalazzeri/ Topic: Automated and Interpretable Machine Learning Schedule: 6:00pm - 6:30pm - ODSC Intro, Pizza & Refreshments 6:30pm - 7:20pm - Talk 7:20pm - 7:30pm - Q&A 7:30pm - 8:00pm - Networking Bio: Francesca Lazzeri, Ph.D. is Senior Machine Learning Scientist at Microsoft on the Cloud Advocacy team and expert in big data technology innovations and the applications of machine learning-based solutions to real-world problems. Her research has spanned the areas of machine learning, statistical modeling, time series econometrics and forecasting, and a range of industries – energy, oil and gas, retail, aerospace, healthcare, and professional services. Francesca periodically teaches applied analytics and machine learning classes at universities and research institutions around the world. She is Data Science mentor for Ph.D. and Postdoc students at the Massachusetts Institute of Technology, and speaker at academic and industry conferences - where she shares her knowledge and passion for AI, machine learning, and coding. Abstract: Automated machine learning is based on a breakthrough from Microsoft’s Research Division. The approach combines ideas from collaborative filtering and Bayesian optimization to search an enormous space of possible machine learning pipelines intelligently and efficiently, serving essentially as a recommender system for machine learning pipelines. On the other hand, when using an algorithm’s outcomes to make high-stakes decisions, it’s important to know which features it did and did not take into account. Additionally, if a model isn’t highly interpretable, the business might not be legally permitted to use its insights to make changes to processes. In this talk, Francesca Lazzeri will explain how you can combine automated machine learning and model interpretability to accelerate AI while still making sure that models are highly interpretable, minimizing model risk and making it easy for any enterprise to comply with regulations and best practices. 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/ • West Conference Oct 29 - Nov 1: https://odsc.com/california • Europe Conference Nov 19 - 22: https://odsc.com/london

Drinks with Data Scientists

The Asgard

Join our Drinks with Data Scientists! Enjoy this great opportunity to exchange information on challenges, experiences, and goals with fellow Data Scientists. That will be an amazing networking time together. Starting at 7 pm Place: The Asgard Irish Pub & Restaurant, 350 Massachusetts Ave. (Between Central Sq. & MIT), Cambridge, Massachusetts 02139 Invite your friends, or come by yourself and make new ones! • 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/ • India Conference Aug 7 - 10: https://india.odsc.com/ • West Conference Oct 29 - Nov 1: https://odsc.com/california • Europe Conference Nov 19 - 22: https://odsc.com/london

Understanding Machine Learning Results to Increase their Value & Avoid Pitfalls

Speaker: Linda M. Zeger, Ph.D., Founder / Principal Consultant at Auroral LLC https://www.linkedin.com/in/linda-zeger-87983a9a/ Topic: Understanding Machine Learning Results to Increase their Value & Avoid Pitfalls Schedule: 6:00pm - 6:30pm - ODSC Intro, Pizza & Refreshments 6:30pm - 7:20pm - Talk 7:20pm - 7:30pm - Q&A 7:30pm - 8:00pm - Networking Bio: Dr. Linda M. Zeger leads the design and execution of innovative processes and solutions to derive maximum value from data. Through projects she has led in scheduling for data delivery protocols, communication and sensor networks, and healthcare analytics, she has developed techniques to substantially improve network efficiency and reliability, guide system operations, and derive key insights, by employing statistical modeling, machine learning, and data analytics. Dr. Zeger is the founder and principal consultant of Auroral LLC, and she has also held positions at MIT Lincoln Laboratory, Lucent Technologies, Educational Testing Service, and with universities. Dr. Zeger earned a Ph.D. in physics from Harvard University. She is is the author of numerous published papers, and is an inventor on a number of patents. Abstract: With the increasing use of artificial intelligence throughout many industries, much excitement has been generated over the potential benefits that can be obtained. At the same time, questions have arisen regarding potential risks of artificial intelligence and its usage of personal data. This session will describe issues that should be considered before and while employing such a system, in order to better understand, and thereby increase, its utility, as well as to avoid possible pitfalls. The quantity and quality of data used to train a machine learning system, as well as the quality and relevancy of the data on which the system is employed, has a great effect on the value of a machine learning system. A thorough understanding of the information content, type, and quality of the input data, as well as how it was selected, obtained, and cleansed is also essential to elucidate any potential inaccuracies, biases, or limitations in the results produced by machine learning. 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/ • West Conference Oct 29 - Nov 1: https://odsc.com/california • Europe Conference Nov 19 - 22: https://odsc.com/london

Past events (83)

Photos (80)

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