In this post, Metis Sr. Data Scientist Roberto Reif explores transfer learning, a method of using a deep learning model that has already been trained to solve one problem containing large amounts of data, and applying it (with some minor modifications) to solve a different problem that contains small amounts of data. He analyzes the limit for how small a data set needs to be in order to successfully apply this technique.
In this post, Metis Sr. Data Scientist Roberto Reif answers the most frequently asked questions he gets about our data science bootcamp. When should you apply? How can you brush up on your stats skills? What kind of job should you expect to get after the bootcamp? Get answers to these questions and more.
Post 5 of 6 in our series explores data science journeys, stories, and community. Hear how a math major made his way to becoming a data scientist and how harnessing the power of community can push your career forward. Listen in on a talk about going after your data science dreams and enjoy a dose of creativity as one data scientist performs original lyrics set to the tune of an 80's chart-topper.
Check out four talks that, together, make a useful data science how-to guide. The speakers cover why knowing how things work matters, how to learn data science and deep learning, and how to use A/B testing.
Hear talks from 5 working data scientists on specific aspects of the data science practice (like statistics and the art of deception, the possibilities/limitations of topic modeling) and on the broader ideas that make up the field – what goes into the job, what skills do you actually use on a regular basis, how are things changing?
Read a Q&A with Gordon Dri, Data Scientist at Oracle and the co-designer/co-instructor of our upcoming Live Online Beginner Python & Math for Data Science part-time course, which starts April 23rd. Hear why he thinks this course represents the "the only way" to start your data science journey.
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.
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?"
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.
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.