Principles of Machine Learning Systems

Slides for Lectures

• 1: Class Administration -- [here]
• 1: The ML Systems Landscape -- [here]
• 2: Mapping ML to Hardware -- [here]
• 3: Model Compression -- [here]
• 4: Hardware Acceleration -- [here]
• 5: Training -- Under the Hood -- [here]
• 6: Distributed Training -- [here]
• 7: Neural Architecture Search -- [here]
• 8: Federated Learning -- [here]
• 9: Deep Learning Compilers -- [here]
• 10a: Advanced Model Compression -- [here]
• 10b: MLSys Practices -- [here]

Supporting Documents

• Optional Reading Material: [here]
• Specification of Class Project: [here]

Material for Lab 1

• Slides -- [here]
• Colab Notebook -- [here]

Material for Lab 2

• Slides -- [here]
• Colab Notebook -- [here]

Material for Lab 3

• Slides -- [here]