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/

Upcoming events (3)

The power of combining BI Analytics and Machine Learning

Speaker: Daniel Gray, Senior Director of Corporate Sales Engineering at AtScale https://www.linkedin.com/in/daniel-gray-835b996/ Topic: The power of combining BI Analytics and 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: Daniel Gray is AtScale's Senior Director of Corporate Sales Engineering. Daniel has spent the last two decades in the data warehouse, big data, and machine learning space and specializes in descriptive and prescriptive analytics. Prior to Atscale, Gray worked at HP’s Advanced Technology Center for 5 years, Vertica for 7 years, and managed the Pre-Sales team at Domino Data lab. He has worked with many databases including Vertica, Netezza, Oracle, Hadoop and Spark as well as a variety of infrastructure tools including Docker, Kubernetes and Openshift. Daniel also has expertise in Python, R, and SAS. Abstract: During this session, you will learn how BI analysis can influence machine learning, how machine learning can feed BI analysis, and the benefits of combining BI analysis and 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

Dumb & Dumber vs Ocean’s 11: Tackling evolving, sophisticated fraud with AI

We want to invite you to participate in the FREE ODSC Webinar! Date: August 29th Time: 1 pm - 2 pm EST To access this webinar, please register using the link below: https://attendee.gotowebinar.com/register/3825553196643547149 Sophisticated fraud attacks that are extensively planned, hard to detect, and highly scalable are becoming the new normal for online platforms. Learn more about the spectrum of fraud attacks – from "dumb & dumber" to "ocean's 11"– and why Unsupervised Machine Learning is the key to detecting attacks before they inflict damage. The webinar will be delivered by Sathya Chandran, PhD, Security Research Scientist at DataVisor. Sathya is an expert in applying big data and unsupervised machine learning to fraud detection, specializing in the financial, e-commerce, social, and gaming industries. Sathya holds PhD in CS from the University of South Florida and has previously worked at HP Labs and Honeywell. 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/

Deep Learning for Clinical Natural Language Processing

Speaker: Dr. Sadid Hasan, Senior Scientist and Technical Lead of the AI Group at Philips Research https://www.linkedin.com/in/sadidhasan/ Topic: Deep Learning for Clinical Natural Language Processing 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. Sadid Hasan is a Senior Scientist and Technical Lead of the Artificial Intelligence Group at Philips Research, Cambridge, MA. His recent research focuses on various Natural Language Processing (NLP) problems related to Clinical Information Extraction, Text Classification, Natural Language Inference, Clinical Text Summarization, and Paraphrase Generation using Deep Learning. Prior to joining Philips, Sadid was a Post Doctoral Fellow at the Department of Mathematics and Computer Science, University of Lethbridge, Canada, from where he obtained his PhD. in Computer Science with a focus in NLP and Machine Learning. Sadid has over 60 peer-reviewed publications in the top NLP/Machine Learning venues, where he also regularly serves as a program committee member/area chair including ACL, IJCAI, EMNLP, NeurIPS, ICML, etc. Abstract: The ever-increasing amount of Electronic Health Record (EHR) clinical free text documents has urged the need to build novel clinical natural language processing (NLP) solutions towards optimizing the patient outcomes across the care continuum. In this talk, I will discuss some of the recent deep learning-based clinical NLP algorithms developed in the Artificial Intelligence Lab at Philips Research such as radiology report classification, clinical paraphrase generation and text simplification, and disease named entity recognition, etc. 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

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