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Metis Bootcamp Hidden Benefits

By: Grace Gardner

February 16, 2018

You might already know that the Metis Data Science Bootcamp is a full-time, twelve-week intensive experience that hones and expands skills brought in by our competitive student cohorts. You’re probably already aware that upon graduating, students have completed rigorous training in machine learning, ...

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Video Series: Demystifying Data Science – Launching Your Data Science Career

By: Emily Wilson // February 14, 2018

Back in September 2017, we hosted a free, live online conference featuring 12 straight hours of data science talks from more than 25 of the industry's best and brightest speakers. Demystifying Data Science was an awesome day of insights, advice, information, and interaction for aspiring data scientists. To share it all, we've broken the collection of recordings into a six-part blog series, of which this is the first.

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What is a Monte Carlo Simulation? (Part 3)

By: Zachariah Miller // February 12, 2018

In Part 3 of his series, Metis Sr. Data Scientist Zach Miller tries to outsmart a casino using Monte Carlo techniques. Will it work?

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Sr. Data Scientist Roundup: Blogs on Deep Learning Breakthroughs, Object-Oriented Programming, & More

By: Emily Wilson // February 08, 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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Instructor Sergey Fogelson on the Importance of Grasping Machine Learning & AI Principles

By: Emily Wilson // February 01, 2018

As Viacom's Vice President of Analytics and Measurement Sciences, Sergey Fogelson uses machine learning and artificial intelligence techniques almost every day. In this Q&A, he discusses why he's excited to share his knowledge with students in our upcoming Live Online Machine Learning & Artificial Intelligence Principles course.

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What is a Monte Carlo Simulation? (Part 2)

By: Zachariah Miller // January 30, 2018

In part 2 of Metis Sr. Data Scientist Zach Miller's exploratory series on the Monte Carlo tool, he goes over how to implement it in Python.

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What is a Monte Carlo Simulation? (Part 1)

By: Zachariah Miller // January 30, 2018

One of the most powerful techniques in any data scientist's tool belt is the Monte Carlo Simulation. It's flexible and powerful since it can be applied to almost any situation if the problem can be stated probabilistically. However, Metis Sr. Data Scientist Zach Miller has found that for many, the concept of using Monte Carlo is obscured by a fundamental misunderstanding of what it is. To address that, he's put together a series of small projects demonstrating the power of Monte Carlo in a few different fields.

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Navigating the Data Science Job Market - What to Know Before You Apply

By: Andrew Savage // January 24, 2018

Andrew Savage has been managing career placement and employer partnerships at Metis for the past two years. He's helped hundreds of our alumni get jobs as Data Scientists, Machine Learning Engineers, and increasingly, AI Engineers. Read his sound advice on navigating the related job market.

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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.

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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.