When our Sr. Data Scientists aren't teaching the intensive 12-week bootcamps orcorporate trainingcourses, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.
With this being our last Sr. Data Scientist Monthly Roundup of the year, we're resharing all posts in this series from 2019 so you can catch up on the many projects and updates from our talented team. After you check this out, be sure to read this month's updates below!
Kevin Birnbaum, Sr. Data Scientist (Corporate Training) & Michael Galvin, Executive Director of Data Science Corporate Training
Leading executive recruiting agency Burtch Works recently interviewed Kevin and Mike about Python's rise in popularity among both practitioners and corporations.
According to the post, "Python has been making rapid gains in the data science and analytics community, as we’ve found in our SAS, R, or Pythonsurveysover the past few years. To dive into the reasons for this growth, we spoke with two senior data scientists atMetis...to get their thoughts on topics like the advantages Python offers, why it’s now the tool of choice for so many, what related resources they’d recommend for both professionals and companies, and much more."
In this post, learn how you can gain access to three types of YouTube data: the videos themselves for use in computer vision tasks, the video transcripts for natural language processing (NLP), and video search results for hybrid machine learning efforts.
Last week, Metis Sr. Data Scientist Joe Eddy published an article on Course Report titled Pandas in Python: A Guide for Beginners. In it, he explains how Pandas was developed, how it's used by data scientists and within companies worldwide, and how beginners can start learning some basics on their own.