ODSC East 2019 Warm-Up Webinar: Open Source

ODSC East is getting closer! We want to invite you to participate in ODSC East's Warm-Up webinar.

This event will feature four 30-minutes tutorials presented by our distinguished speakers. These sessions will highlight some of the most integral topics, tools, and languages in Open Source and give attendees a preview of what can be expected at ODSC East, Boston's largest applied data science conference. This four-day conference will feature over 250+ speakers and 300+ hours of content.

To access this webinar, please register using the link below:
https://attendee.gotowebinar.com/register/7191827888926105869

Date: March 20th, 2019
Time: 1 pm - 3 pm EST

Full Agenda Detail:
Session 1 - Integrating Pandas with Scikit-Learn, an Exciting New Workflow (30 Minutes)

Speaker: Ted Petrou, Founder, Dunder Data

Abstract:
In this hands-on tutorial, we will use these new additions to Scikit-Learn to build a modern, robust, and efficient workflow for those starting from a Pandas DataFrame. There will be ample practice problems and detailed notes available so that you can use it immediately upon completion.

Session 2 - PyTorch Examples for the Most Common Neural Net Mistakes (30 Minutes)

Speaker: Yuval Greenfield, Developer Relations, MissingLink.ai

Abstract:
On June 30th, 2018, Andrej Karpathy, Director of AI at Tesla, tweeted a short list of first things to check when your neural network isn’t working.
In this session, you will see what these mistakes look like in code and performance metrics. Using a computer vision dataset and a PyTorch code sample - we’ll walk through each of these pieces of advice, test it and explain it. Expect a technical deep dive and a review of best practices when debugging a PyTorch computer vision experiment.

Session 3 - Mapping Geographic Data in R (30 Minutes)

Speaker: Joy Payton, Supervisor, Data Education, Children's Hospital of Philadelphia

Abstract:
In this hands-on workshop, we will use R to take public data from various sources and combine them to find statistically interesting patterns and display them in static and dynamic, web-ready maps. This session will cover topics including geojson and shapefiles, how to munge Census Bureau data, geocoding street addresses, transforming latitude and longitude to the containing polygon, and data visualization principles.

Participants will leave this workshop with a publication-quality data product and the skills to apply what they've learned to data in their field or area of interest.

Session 4 - Analyzing Legislative Burden upon Businesses Using NLP and ML (30 Minutes)

Speakers: Daniel Parton, Ph.D., Lead Data Scientist, Bardess Group and Serena Peruzzo, Sr. Data Scientist, Bardess Group

Abstract:
In this hands-on workshop, we'll first describe the legislative/business context for the initiative, then walk attendees through the technical implementation. The work will be conducted by combining various techniques from the NLP toolbox, such as entity recognition, part-of-speech tagging, automatic summarization, and topic modeling. Work will be conducted in Python, making use of libraries for NLP such as spacy and nltk, and the ML library scikit-learn. We will also showcase interactive dashboards which have been created using the BI tool Qlik to allow exploration of the results of the analysis.

ODSC Links:
• Get free access to more talks like this at LearnAI:
https://learnai.odsc.com/
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• 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