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Impact of Sample Size on Transfer Learning

By: Roberto Reif

July 05, 2018

In this post, Metis Sr. Data Scientist Roberto Reif explores transfer learning, a method of using a deep learning model that has already been trained to solve one problem containing large amounts of data, and applying it (with some minor modifications) to solve a different problem that contains small amounts of data. He analyzes the limit for how small a data set needs to be in order to successfully apply this technique.

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Academia to Data Science: Where Does a Bootcamp Fit into the Equation?

By: Emily Wilson //  July 05, 2018

To transition from academia to industry, many choose bootcamps as a way to bridge the gap between the theory-heavy rigor of academia and the practicality of industry experience. In this post, hear from three such students who made the transition via bootcamp and who are now working in the field.

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Check Out Five Passion Projects Created by Metis Sr. Data Scientists

By: Metis  //  June 21, 2018

Metis Sr. Data Scientists teach our 12-week data science bootcamps, work on curriculum development, present at conferences, perform corporate training, and more throughout a rotating yearly schedule. Built into that is a passion quarter, during which each works on a project that suits their interests and allows them to dig deeply into a facet of data science. Read here to learn about two recently wrapped three and three ongoing passion projects.

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SwitchUp Chats with Roberto Reif, Metis Sr. Data Scientist in Seattle

By: Metis  //  June 05, 2018

Read a great interview between SwitchUp and Roberto Reif, Metis Sr. Data Scientist in Seattle. In it, he discusses ideal qualities of Metis students, the strength of the bootcamp curriculum, and much more.

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Free Live Online Conference: Demystifying Data Science Aims to Help Aspiring Data Scientists & Data-Curious Business Leaders

By: Metis  //  June 04, 2018

We're excited to announce our second annual Demystifying Data Science conference – free and live online from July 24th-25th. For aspiring data scientists and data-curious business leaders, the conference will consist of 28 interactive data science talks from industry-leading speakers.

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Made at Metis: Geo-Tagged Places of Interest & Musician Connections on Craigslist

By: Emily Wilson //  May 31, 2018

In this month's edition of the Made at Metis blog series, we're highlighting two recent student projects that have to do with traveling to new cities. In the first example, a student explored new and improved ways to find places of interest while planning trips. In the second, a student set out to understand how and why musicians sought and found connections via Craigslist.

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SwitchUp Chats with Alice Zhao, Metis Sr. Data Scientist in Chicago

By: Metis  //  May 30, 2018

SwitchUp recently sat down with Metis Sr. Data Scientist Alice Zhao, who teaches our 12-week data science bootcamp in Chicago. Read about her favorite student success stories, her advice for those coming into the bootcamp, and much more.

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Sr. Data Scientist Roundup: Bayesian Optimal Pricing, Neural Networks, and Using Scrum

By: Emily Wilson //  May 29, 2018

When our Sr. Data Scientists aren't teaching the intensive, 12-week bootcamps, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.

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Frequently Asked Bootcamp Questions, Answered by a Sr. Data Scientist

By: Roberto Reif //  May 24, 2018

In this post, Metis Sr. Data Scientist Roberto Reif answers the most frequently asked questions he gets about our data science bootcamp. When should you apply? How can you brush up on your stats skills? What kind of job should you expect to get after the bootcamp? Get answers to these questions and more.

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SwitchUp Chats with Brendan Herger, Metis Sr. Data Scientist in San Francisco

By: Metis  //  May 23, 2018

In this post, SwitchUp interviews Brendan Herger, a Metis Sr. Data Scientist based in San Francisco. Find out what he loves about teaching, about his passion for machine learning, and how he helped found Capital One's Center for Machine Learning.