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Made at Metis: Improving Food & Beer Recommendation Engines

By Emily Wilson • January 23, 2018

Food and beer. One you need and the other you don't – but if you're anything like me, you sure enjoy them both quite a bit. In this month's edition of the Made at Metis blog series, we're highlighting two recent student projects that look to improve the status quo surrounding food and beer recommendation engines.

data science
Dear Aspiring Data Scientists, Just Skip Deep Learning (For Now)

By Zachariah Miller • January 18, 2018

There's no arguing it – deep learning can do some truly awesome stuff. But hear our Sr. Data Scientist Zach Miller out. When training to be an employable data scientist, these skills aren't necessary – at least not right away. Read his post to learn why.

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Exclusive Event: How Do Recommendation Engines Work? (Apply By 2/12 For Invite)

By Emily Wilson • January 16, 2018

Recommendation engines are an integral part of modern business and life. You see them (and probably use them) everywhere – Amazon, Netflix, Spotify – the list can go on forever. So, what really drives them? Join us 2/15 as Metis Sr. Data Scientist Zach Miller breaks down the complex topic. (In order to receive your exclusive invitation, apply to our data science bootcamp by 2/12.)

data science
Sr. Data Scientist Roundup: Linear Regression 101, AlphaGo Zero Analysis, Project Pipelines, & Feature Scaling

By Emily Wilson • January 11, 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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SwitchUp Interviews Metis Grad Marcus Carney, Army Vet & Data Scientist

By Contributor • January 09, 2018

Produced in partnership with SwitchUp, read an interview with Metis graduate Marcus Carney, Army Veteran and Data Scientist with CKM Advisors.

data science interviews
Paul Trowbridge on the Importance of Having a Solid Stats Foundation

By Emily Wilson • January 05, 2018

Paul Trowbridge, instructor of our upcoming Live Online Statistical Foundations for Data Science & Machine Learning course, discussed the need for a firm stats foundation, talked about his career, and more during a recent Q&A.

interviews
Q&A with Trent Hauck – Data Scientist, Metis Instructor, and Author

By Emily Wilson • January 04, 2018

Trent Hauck is a Senior Data Scientist at Zymergen and the instructor of our upcoming Live Online Introduction to Data Science part-time professional development course, which kicks off January 22nd. Read about his career, his advice for new data scientists, and more.

alumni
Made at Metis: Making Predictions - Snowfall in California & Home Prices in Portland

By Emily Wilson • December 18, 2017

Take a look at what's possible in just 12 weeks in this post, which features two final projects created by recent graduates of our data science bootcamp. James Cho predicted snowfall in California's Sierra Nevada mountains (which helps predict water supply) while Lauren Shareshian predicted home prices in Portland, Oregon.

alumni
Demystifying Data Science: Making a Data-Focused Impact at Amazon HQ in Seattle

By Emily Wilson • December 15, 2017

While working as a software engineer at a consulting agency, Sravanthi Ponnana automated computer hardware ordering processes for a project with Microsoft, attempting to identify existing and/or potential loopholes in the ordering system. But what she discovered underneath the data caused her to rethink her career. Read her story.

interviews
"Fundamentals Are All There Is": An Interview with Senthil Gandhi, Award-Winning Data Scientist at Autodesk

By Metis • December 14, 2017

We had the pleasure of interviewing Senthil Gandhi, Data Scientist at Autodesk in San Francisco, where he built Design Graph, an automated search and completion tool for 3D Design that leverages machine learning. He discusses his work and gives advice to both current and aspiring data scientists.