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Our Machine Learning Resources |
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Here, you'll find all of ACM AI's content over the years, including code, blog posts, notes, and slides. Enjoy!
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
- Gradient descent
- Mean-squared error loss
- Forward propagation in a neural network (coming soon!)
- A few useful things to know about machine learning
- Deep Learning: An overview
- AlexNet, Inception Net, & ResNet notes and slides
- Word2Vec meeting slides