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Monday, May 13 • 8:30am - 9:50am
Machine Learning Applications & Challenges for Startups FILLING

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Implementing machine learning & AI at a startup comes with a unique set of challenges. In this event, speakers will introduce a real-world application of machine learning, as well as the issues that came up along the way. These challenges include data acquisition and labeling of training data, using pre-existing tooling to speed up the delivery of AI models, and maintaining models in production.
Speakers
avatar for Jordan Hagan

Jordan Hagan

Senior Data Scientist, Miner & Kasch
Jordan Hagan is a Senior Data Scientist with Miner & Kasch. She started her career in 2010 as a government subcontractor working with the OIG/DOJ providing analytic insights to support Medicare Part D fraud, waste, and abuse cases. With expansive healthcare domain knowledge, Jordan... Read More →
avatar for Gargi Datta

Gargi Datta

Bioinformatics Data Scientist, SomaLogic
Data scientist/engineer with a passion for all things AI and machine learning. I have a strong background in software engineering, machine learning research and computational biology. I currently work on building predictive models for different diseases from proteomic data.
avatar for Jeffrey James

Jeffrey James

Senior Research Engineer, Pond5
Senior data scientist and educator with background in digital media and web/business analytics. Currently working on document/audio classification product enhancements, in addition to web crawling and network analysis problems. Also teach at the University of Denver https://bootc... Read More →

Sponsors
avatar for Honey

Honey

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avatar for Technical Integrity

Technical Integrity

Our mission: To build community, help great companies and candidates thrive, and be a conduit to a truly better world. Technical Integrity was built on the notion that there was a better way to serve our clients, candidates and our community.  

Monday May 13, 2019 8:30am - 9:50am MDT
Rembrandt Yard 1301 Spruce St, Boulder, CO 80302
  Data Science   Development

Attendees (228)