In a blog post recapping his bootcamp final project, Metis graduate Matt Ahlborg introduces the topic by writing: "In the decade since the Satoshi white paper was published, we can now say that the word Bitcoin has entered global consciousness. However, many people, including some very intelligent and well-respected people in their own right, still have trouble understanding the idea of Bitcoin and in many cases even question its value and purported utility in the world."
He continues: "While Bitcoin today showcases a vast body of anecdotal evidence which argues its utility or potential future utility, due to the pseudonymous nature of the blockchain as well as other factors, it is still hard to come across aggregate data which shows this behavior occurring on a consistent and measurable scale. To attempt to address this problem, I took a close look at trading volumes on the Peer-to-Peer Bitcoin trading website Localbitcoins.com."
"Magazine covers have an underrated influence on our culture," writes Metis graduate Nora G. May in a blog post about her bootcamp final project. "Even if you don’t read tabloids or women’s magazines, you can picture a Cosmo or People magazine cover and can give examples of the types of stories they run. Every time you’ve purchased groceries or gotten a snack for the plane, you see these magazines and they make an impression," she continues.
In an attempt to understand the market appeal of magazines, specifically women’s magazines, May used data analytical tools to abstract magazines' marketing techniques. She extracted the text from magazine covers, performed NLP topic modeling, and used image processing techniques to understand graphic trends and representation.
When our Sr. Data Scientists aren't teaching the intensive, 12-week bootcamps or corporate training courses, they're working on a variety of other projects. This monthly blog series tracks some of their recent activities. In this edition, read blogs on the importance of both scoping and designing data science projects, and get an introduction to PyTorch with NLP.
This post features two final projects from recent graduates of our data science bootcamp. Take a look at what's possible to create in just 12 weeks, including a meal recommendation app based on the produce you have at home + a recommendation engine to help you choose your next favorite beer.
Let’s face it: today's job market is confusing – perhaps even more so in data science, where job titles are all over the map, needed skill sets aren’t always clear in job descriptions, interviews are famously intense, and so forth. In this post, Metis Seattle Career Advisor Marybeth Redmond explains how to effectively navigate the tricky waters of the job search, particularly in the Seattle area.