• This seminar reading list and schedule are tentative and might change as the quarter progresses.

  • Please try to attend all the presentations, ask questions, and participate in the discussions.

Date Topic / Paper Presenter
10/3 Introduction and Overview Arun Kumar (Organizer)
" Data Scientist: The Sexiest Job of the 21st Century
" 50 years of Data Science
Big Data in the Natural Sciences Arun
10/10 The Big Challenges of Big Data in Biology
" Big Data in Astronomy and Alberto Conti Interview
Big Data in the Social Sciences and Humanities
10/17 Computer-Assisted Text Analysis for Comparative Politics Siddharth
" Characterizing the Google Books Corpus: Strong Limits to Inferences of Socio-Cultural and Linguistic Evolution
Big Data in the Enterprise World
10/24 Making Sense of Big Data in Insurance Siddharth
" Big Data In Healthcare and McKinsey Report
Deep Learning for Machine Perception, Translation, and More
10/31 Deep Learning Side
" Dermatologist-level classification of skin cancer with deep neural networks
11/7 No class
11/14 The Great AI Awakening Shey
" Machine Learning Applications for Data Center Optimization and DeepMind Blog
Data Science Systems
11/21 Apache Spark: A Unified Engine for Big Data Processing
" TensorFlow: A System for Large-Scale Machine Learning
Ethical Issues in Data Science
11/28 Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
" Deep Neural Networks can Detect Sexual Orientation From Faces and Scientific Criticism
Practical Issues in Data Science
12/5 Machine Learning: The High-Interest Credit Card of Technical Debt
" Transitioning from Academic ML to AI in Industry