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Keeping Up With the Deep Learning Curve (Exclusive Applicant-Only Online Event)
By Emily Wilson • November 14, 2017
What: Keeping Up With the Deep Learning Curve by Julia Lintern, Metis Sr. Data Scientist
Where: Live Online Event
When: Dec. 7th, 6:30-7:30 pm ET
How: (CLOSED) Complete your application by Nov. 30th and receive an exclusive invite.
Deep learning. If you're interested in data science, you've probably heard of it – some of the most exciting research going on right now is in this area. But how do you gain a basic understanding of what's going on within all of those deep learning layers? And how do you get started with hands-on practice?
To begin answering these questions, anyone who completes their application to our data science bootcamp by November 30th will receive an exclusive invitation to hear Metis Sr. Data Scientist Julia Lintern present Keeping Up With the Deep Learning Curve, a talk to help the beginner-level data scientist navigate the deep learning landscape.
This exclusive, online event will be held on December 7th from 6:30 - 7:30 pm ET, complete with a Q&A session with Julia to follow. [Invitations will go out to all applicants who qualify via email on December 1st. Login details will be included then.] Julia will explain both the design theory and the code of some of today's most widely used deep learning algorithms, including convolutional neural nets and recurrent neural nets. Additionally, she'll discuss one of her own recent deep learning explorations that she completed during her "passion quarter" at Metis – an implementation of FashionNet involving a spin-off of Style Transfer. Complete your bootcamp application by 11/30 to receive your special invitation.
An image from Julia's project, for which she developed a deep learning model that can predict locations within a garment (left collar, right collar, etc.).
Top left: shows learning curve; top right: when the learning curve is turned counterclockwise, we see there is a magic staircase (aka a shortcut via Python libraries).
Attendees are encouraged to ask Julia questions related to her talk but are also welcome to ask her questions about the bootcamp experience itself. She's taught the bootcamp 5 times in New York City and is one of our most experienced instructors.
Read this recap from a recent Ask Me Anything session with Metis Sr. Data Scientist Kimberly Fessel, who took questions about her transition from academia to data science. Kimberly holds a Ph.D. in applied mathematics and completed a postdoctoral fellowship in math biology, but realized that academia wasn't her long-term passion. Learn more about her path to data science here.
On the second day of our upcoming Demystifying Data Science live online conference, hear 8 talks + 3 interactive workshops, all designed for Business Leaders, Managers, and Practitioners to learn best practices to successfully integrate data science into an organization. In this post, check out a preview of just some of what's to come on Day 2, and start planning so you can take it all in.
During a recent Ask Me Anything session, attendees asked Alison Cossette (Director of Data Science in Research & Development at the NPD Group + instructor of our upcoming Intro to Data Science course) questions about what to expect and how to prepare for the course. Plus, they asked her about her experience as a Metis bootcamp student and graduate.