Schedule 2023
Date | Topic | Notes | Reading | ||
Week 1 | |||||
2023-10-30 15:00-17:00 |
Introduction | [slides] | Deep Learning Book (Ch. 1, 2, 3) | ||
2023-10-31 10:00-12:00 |
Serverless Machine Learning | [slides] | For more details on serverless ML: https://www.serverless-ml.org/ | ||
Week 2 | |||||
2023-11-06 08:00-10:00 |
Regression, Classification, and Decision Trees | [slides] | Deep Learning Book (Ch. 4, 5) Handson Book (Ch. 2, 4) |
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2023-11-7 13:00-15:00 |
Deep Feedforward Networks | [slides] | |||
2023-11-9 8:00-10:00 |
Lab 1 | See Canvas for details of Lab 1 and deadlines. | |||
Week 3 | |||||
2023-11-13 15:00-17:00 |
Training Deep Feedforward Nets | Slides | Deep Learning Book (Ch. 7, 8), Handson Book (Ch. 11) | ||
2023-11-14 15:00-17:00 |
Stefan Krawczyk from Dagworks will talk about feature engineering with Hamilton | Erik Bernhardsson will talk about Modal | See Video here on KTH. | ||
2023-11-17 8:00-10:00 |
Lab 1 | See Canvas for details of Lab 1 and deadlines. | |||
Week 4 | |||||
2023-11-20 15:00-17:00 |
Convolutional Nets | Slides | Deep Learning Book (Ch. 9), Handson Book (Ch. 14), 10 CNN Architectures [link] | ||
2023-11-21 10:00-12:00 |
RNNs, Attention and Transformers | Slides | Deep Learning Book (Ch. 10) Handson Book (Ch. 15, 16) Attention Is All You Need [paper]. Mechanics of Seq2seq Models With Attention [link]. The Illustrated Transformer [link] | ||
2023-11-23 15:00-17:00 |
Lab 2 | See Canvas for details. | |||
Week 5 | |||||
2023-11-27 08:00-10:00 |
Feature Stores for Machine Learning | slides, Hopsworks Docs | Reading references in slides. | ||
2023-11-28 10:00-12:00 |
Machine Learning Operations (MLOps) | slides | Reading references in slides. | ||
Week 6 | |||||
2023-12-04 15:00-17:00 |
Real-Time Machine Learning | slides | Reading references in slides. | ||
2023-12-05 10:00-12:00 |
Project Presentation | See Canvas for Details | |||
Week 7 | |||||
2023-12-11 13:00-15:00 |
AutoML: Hyperparameter Tuning and Neural Architecture Search | slides | Reading references in slides. | ||
2023-12-12 13:00-15:00 |
Data and Model Parallel Training of Deep Neural Networks | slides | Reading references in slides. | ||