Dr. Rachel Chung's course materials for AI in the residential MSBA program at William & Mary
Module 1: Deep Learning for Regression
Module 2: Deep Learning for Classification & Vision
Module 3: Language
Module 4: Recommenders & Model Tuning
Module 5: Reinforcement Learning
Module 6: Team Projects & Final Exam
References
Deep Learning by Goodfellow, Bengio and Courville
Artificial Intelligence: A Modern Approach by Russell and Norvig
Neural Networks and Deep Learning by Mielson
Deep Learning Illustrated by Krohn, Beyleveld, and Bassens
Tensorflow
Deep Learning with Python
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
AI and Machine Learning for Coders by Moroney
PyTorch
Deep Learning for Coders with fastai & PyTorch
Deep Learning with PyTorch