Neural Ordinary Differential Equations and Dynamics ModelsIn this post, we explore the deep connection between ordinary differential equations and residual networks, leading to a new deep learning…Sep 4, 20192Sep 4, 20192
Machine Learning Crash Course: Part 5 — Decision Trees and Ensemble Models26 Dec 2017 | Shannon Shih and Pravin RavishankerMar 9, 2019Mar 9, 2019
Machine Learning Crash Course: Part 4 — The Bias-Variance Dilemma13 Jul 2017 | Daniel Geng and Shannon ShihMar 9, 2019Mar 9, 2019
Machine Learning Crash Course: Part 304 Feb 2017 | Daniel Geng and Shannon ShihMar 9, 20192Mar 9, 20192
Machine Learning Crash Course: Part 224 Dec 2016 | Daniel Geng and Shannon ShihMar 9, 2019Mar 9, 2019
Machine Learning Crash Course: Part 106 Nov 2016 | Daniel Geng and Shannon ShihMar 9, 2019Mar 9, 2019
Tricking Neural Networks: Create your own Adversarial Examples10 Jan 2018 | Daniel Geng and Rishi VeerapaneniMar 7, 20193Mar 7, 20193
Demo Day: September 2016One of our main goals here at ML@B is to help students understand how to use machine learning in real-world situations. This semester…Oct 15, 2016Oct 15, 2016
Hello World!One of the hottest and most exciting topics floating around these days is machine learning. People have created amazing things through…Oct 4, 20161Oct 4, 20161
