Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
julia lintern

julia lintern
Senior Data Scientist, Metis

Website

Julia Lintern is a senior data scientist at Metis, where she coteaches the data science bootcamp, develops curricula, and focuses on various other special projects. Previously, Julia worked as a data scientist at JetBlue, where she used quantitative analysis and machine learning methods to provide continuous assessment of the aircraft fleet. Julia began her career as a structures engineer designing repairs for damaged aircraft. In her free time, she collaborates on various projects, such as the development of a trap music generator; she has also worked on creative side projects such as Lia Lintern, her own fashion label. Julia holds an MA in applied math from Hunter College, where she focused on visualizations of various numerical methods including collocation and finite element methods and discovered a deep appreciation for the combination of mathematics and visualizations, leading her to data science as a natural extension of these ideas.

Sessions

1:30pm5:00pm Tuesday, September 26, 2017
Machine Learning & Data Science
Location: 1A 21/22 Level: Beginner
Secondary topics:  Deep learning
julia lintern (Metis)
Julia Lintern offers a deep dive into deep learning with Keras, beginning with basic neural nets and before exploring convolutional neural nets and recurrent neural nets. Along the way, Julia explains both the design theory behind and the Keras implementations of today's most widely used deep learning algorithms. Read more.