Here, you’ll find all of ACM AI’s content over the years, including code, blog posts, notes, and slides. Enjoy!
Spring 2020
ACM AI Outreach
Freely-accesible slides + code + homework assignments covering the following topics:
- What is AI?
- What is ML?
- Plotting data
- Supervised learning framework
- Machine learning math
- Gradient descent
- Linear regression
- Logistic regression
- Bayes’ theorem and normal distribution
- Introduction to fully-connected neural networks
- Optimization and regularization
- Introduction to convolutional neural networks
- AI ethics and self-driving cars
- MNIST classification using CNNs implemented in Keras
Conceptual visualization modules
- Gradient descent
- Mean-squared error loss
- Forward propagation in a neural network (coming soon!)
TikToks
“You Belong in AI!” podcast episodes
Fall 2018
Beginner Track
Workshop #1: Intro to ML
Workshop #2: Math and Coding Overview
Workshop #3: Linear Regression
Workshop #4: Linear Regression: Code
Advanced Track
Workshop #1: ML Review + Neural Networks
Workshop #2: Neural Networks
Workshop #3: Neural Networks: Code
Spring 2018
Linear Regression
Logistic Regression
Pandas & Kaggle Hack Session
Intro to Neural Networks with Tensorflow
More on Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks with Tensorflow
Generative Adversarial Networks
Autoencoders
Research Paper Reviews
- A few useful things to know about machine learning
- Deep Learning: An overview
- AlexNet, Inception Net, & ResNet notes and slides
- Word2Vec meeting slides