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.
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.
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.
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.
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.)
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.
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.