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data science interviews

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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data science
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.

data science
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.

careers
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.

alumni
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.

events
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.

alumni
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.

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