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With Cliff Clive (Sr Data Scientist, Metis).
Wednesday, June 12, 2019 at 09:30 PM   Absolutely Free


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This event will be Livestreamed here:

Data Science is a field with immense breadth & depth. As our toolkit grows & we learn how to chain models & pipelines together, there's no limit to the time & complexity we can devote to over-engineering a solution. In my role as a data science instructor at Metis, & during my tenure at Microsoft before that, I've observed time & again that many data scientists seem to be much better at learning algorithms & software libraries than they are at identifying good business cases to solve, & designing workflows that will enable them to work productively from start to finish.

In this workshop I share a user-focused design approach to building an end-to-end minimum viable product for any data science project. By asking & answering the right questions at the start of any new project, we can set a course that points to clear choices for the design decisions we face along the way. I teach this in the context of building a music genre classification model that can be used to generate playlists from text descriptions.

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 Code of Conduct

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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