Authors: Ernesto Evgeniy Sanches Shayda (esanches@stanford.edu), Ilkyu Lee (lqlee@stanford.edu) I. MOTIVATION Musical instruments have evolved during thousands of years allowing performers to produce almost all…
Check out part 1 (here)and part 2 (here) of this series In the last part of our series on uncertainty estimation, we addressed the limitations…
Authors: Rifath Rashid (rifath@stanford.edu) and Anton de Leon (aadeleon@atanford.edu) 1 Introduction The question of how accurately Twitter posts can model the movement of financial securities…
You can check out part 1 of this series here In part 1 of this series, we discussed the sources of uncertainty in machine learning models,…
Authors: Drake Johnson (drakej@stanford.edu), Tim Ngo (ngotm@stanford.edu), Augusto Fernandez (afyrxr@stanford.edu) I. Introduction: Recently, there has been an increase in interest in the public for the…
Hosted by: Comet.ml and Pearl Cohen This week, we hosted a webinar with the patent experts at Pearl Cohen. During the webinar, Pearl Cohen talks…
Authors: Danny Takeuchi (dtakeuch@stanford.edu), Raymond Thai (raythai@stanford.edu), Kevin Tran (ktran23@stanford.edu) This project tackles several current issues with automated chest X-ray radiography, specifically regarding work on…
“We demand rigidly defined areas of doubt and uncertainty!” – Douglas Adams, The Hitchhiker’s Guide to the Galaxy Why is uncertainty important? Let’s imagine for…
Sections Introduction to NLP Dataset Exploration NLP Processing Training Hyperparameter Optimization Resources for Future Learning Introduction to NLP Natural Language Processing (NLP) is a subfield…
With data scientists and machine learning teams working on ambitious applications of AI, this industry is positioned to revolutionize the way society works and communicates.…