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With Andrew Kruger (Data Scientist Strong Analytics, Metis).
Thursday, June 13, 2019 at 07:30 PM   Absolutely Free


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This event will be Livestreamed here:

The TensorFlow Object Detection API is an open source framework that can be used to develop, train, & deploy deep learning models. It has enabled data scientists & computer vision engineers to create object detection applications using state-of-the-art model architectures. This demonstration will give an introduction to object localization & image segmentation models, & provide a walk-through showing the steps necessary to train & deploy models to production.

Andrew is a Data Scientist at Strong Analytics, where he integrates machine learning & computer vision into the development of new technologies. Strong Analytics is a data science consulting firm that works with companies of all sizes, from startups to the Fortune 100, in developing, engineering, & deploying machine learning-based technologies. Andrew's primary work has been in developing deep learning-based 3D object detection & tracking models for use in optimizing last-mile logistics by global shipping companies.

About Metis

Metis ( accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, & corporate programs based in Seattle, New York, Chicago, & San Francisco.

Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, & more. Students & alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.

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Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof).

We do not tolerate harassment of students, staff, or visitors in any form. Sexual language & imagery is not appropriate for any event including talks, workshops, parties, & other online media. Individuals & groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.

If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously & promptly addressed.

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