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.
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.
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.
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.
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.
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.
In the second installment of this series, Metis Sr. Data Scientist Jonathan Balaban provides four key strategies to unify stakeholders across your next data science consulting effort, whether you're working with a Fortune 50 firm or a small business of 50 staff members.
This is part 1 of a 3-part series written by Metis Sr. Data Scientist Jonathan Balaban. In it, he distills best practices learned over a decade of consulting with dozens of organizations in the private, public, and philanthropic sectors. Enjoy part 1, and stay tuned for more in the coming weeks.
Earlier this week, we wrote about current Metis student Jeff Kao, whose blog post about his ongoing bootcamp final project went viral. We caught up with him to ask about the experience, why he chose this project, and more.