Tag: AI

• Research Meeting Notes (05 Mar 2021)
  
• Research Meeting Notes (26 Feb 2021)
  
• Department Colloquium by Dr. Rebecca Hubbard Notes (25 Feb 2021)
  
• Optimization Models in Machine Learning (27 Jan 2021)
  
• Breast Cancer Detection with KNN and SVM (15 Jan 2021)
  
• A Breakdown of Common AI Metrics (14 Jan 2021)
  
• AI and Neuroethics (03 Jan 2021)
  
• Model-Free Prediction (14 Jul 2020)
  
• Responsible Innovation & AI (11 Jul 2020)
  
• Unsupervised Representation Learning (09 Jul 2020)
  
• Attention and Memory in Deep Learning (07 Jul 2020)
  
• Modern Latent Variable Models (05 Jul 2020)
  
• Generative Adversarial Networks (05 Jul 2020)
  
• Deep Learning for Natural Language Processing (05 Jul 2020)
  
• Exploration and Exploitation (24 Jun 2020)
  
• Integrating Learning and Planning (23 Jun 2020)
  
• Policy Gradient Methods (22 Jun 2020)
  
• Reinforment Learning Case Studies (21 Jun 2020)
  
• Value Function Approximation (21 Jun 2020)
  
• Model-Free Control (20 Jun 2020)
  
• Model-Free Prediction (19 Jun 2020)
  
• Planning by Dynamic Programming (15 Jun 2020)
  
• Markov Decision Process (14 Jun 2020)
  
• Introduction to Reinforcement Learning (10 Jun 2020)
  
• Sequences and Recurrent Networks (10 Jun 2020)
  
• Optimization for Machine Learning (09 Jun 2020)
  
• Advanced Models for Computer Vision (08 Jun 2020)
  
• Convolutional Neural Networks for Image Recognition (07 Jun 2020)
  
• Neural Networks Foundations (05 Jun 2020)
  
• TensorFlow Summary (04 Jun 2020)
  
• Intro to Machine Learning & AI (03 Jun 2020)
  
• Reinforcement Learning (04 May 2020)
  
• Heuristics Demystified (25 Apr 2020)
  
• Support Vector Machines (19 Apr 2020)
  
• Bayes Naive Classifiers (14 Apr 2020)