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What is a Monte Carlo Simulation (Part 5)
By Zachariah Miller • March 01, 2018

This is the 5th and final installment of a series by Metis Sr. Data Scientist Zach Miller dedicated to investigating how Monte Carlo can be a great tool. In it, he discusses using Monte Carlo to measure business impact.

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data science
What is a Monte Carlo Simulation? (Part 4)

By Zachariah Miller • February 23, 2018

In Part 4 of our ongoing series on the Monte Carlo Simulation, Metis Sr. Data Scientist Zach Miller asks and answers the question: "How do physicists use Monte Carlo to simulate particle interactions?"

data science
Video Series: Demystifying Data Science – Breaking Down Data Science Roles

By Emily Wilson • February 22, 2018

In the second installment of our Demystifying Data Science Video Series, you'll hear talks from three working data scientists about their roles, their ideas of what makes a data scientist, and what you should know about the complex, evolving, exciting field.

alumni
Made at Metis: Fighting Gerrymandering and Fighting Biased Algorithms

By Emily Wilson • February 20, 2018

In this month's edition of the Made at Metis blog series, we're highlighting two recent student projects that focus on the act of (non-physical) fighting. One aims to use data science to fight the problematic political practice of gerrymandering and another works to fight the biased algorithms that attempt to predict crime.

careers data science
Metis Bootcamp Hidden Benefits

By Carlos Russo • February 16, 2018

You may already know the basics about our bootcamp. It's intensive, lasts 12 weeks, and is project-focused, for instance. But did you know there are many hidden benefits of the bootcamp? This post will give you a better idea of everything the bootcamp has to offer.

careers data science
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.

data science
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?

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.

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