nikhil-vytla/bst261-sp20

BST 261: Data Science II - Deep Learning (Spring 2020)

Welcome to BST261: Data Science II

Deep learning is a subfield of machine learning that builds predictive models using large artificial neural networks. Deep learning has revolutionized the fields of computer vision, automatic speech recognition, natural language processing, and numerous areas of computational biology. In this class, we will introduce the basic concepts of deep neural networks and cloud computing, discuss basic neural networks, convolutional neural networks and recurrent neural networks structures, and examine biomedical applications. Students are expected to be familiar with linear algebra, python and machine learning.

All course material will be posted here. See below for assignment deadlines.

NOTE: all lectures, labs and office hours will be held via Zoom until further notice. The links to each meeting can be found on the course Canvas site.

Course Instructor

Heather Mattie
Instructor of Data Science
Harvard T.H. Chan School of Public Health
Building 1 Room 421A, 655 Huntington Ave, Boston
[email protected]
Office Hour: Tuesdays 1-2pm or by appointment

Course Teaching Assistants

Kareem Carr PhD Candidate, Biostatistics
[email protected]
Lab: Fridays 9:45-11:15am

Gopal Kotecha PhD Candidate, Biostatistics
[email protected]
Office Hours: Mondays 2:00-4:00pm

Problem Set 1: Due Sunday, April 12th by 11:59pm

Problem Set 2: Due Friday, May 15th by 11:59pm

Group Project Proposal: Due Friday, May 15th by 11:59pm

Paper presentations will take place throughout the course starting week 2