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Linear Regression | Logistic Regression | ️Multilayer Perceptrons |
| Navie Bayes | Cluster | ️Dession Tree | |
| ️Support Vector Machine | Convolutional Neural Networks | Recurrent Neural Networks |
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Search | Knowledge | ️Optimization |
| Learning | Uncertainty | ️ | |
| ️ |
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Lec 1: Introduction to Learning | Lec 2: Deep Sequence Modeling | ️Lab 1: Intro to TensorFlow; Music Generation |
| Lec 3: Deep Computer Vision | Lec 4: Deep Generative Modeling | ️Lab 2: De-biasing Facial Recognition Systems | |
| ️Lec 5: Deep Reinforcement Learning | Lec 6: Limitations and New Frontiers | Lab 3: Pixels-to-Control Learning |