Fall 2021 | CSE 291 | Unsupervised learning |

Winter 2022 | CSE 291 | Unsupervised learning |

Spring 2022 | CSE 101 | Algorithms |

Spring 2022 | CSE 254 | Seminar: Explainable AI |

Webpages of some courses from previous years:

CSE 101 | Algorithms |

CSE 103 | Probability and statistics |

CSE 151 | Machine learning |

CSE 250B | Machine learning |

CSE 254 | Seminar: inference in graphical models |

CSE 254 | Seminar: embeddings |

CSE 254 | Seminar: deep learning |

CSE 254 | Seminar: neurally-inspired unsupervised learning |

CSE 254 | Seminar: deep unsupervised learning |

CSE 291 | Probabilistic AI |

CSE 291 | Learning theory I (supervised learning) |

CSE 291 | Topics in unsupervised learning |

CSE 291 | Bayesian methods |

CSE 291 | Geometric algorithms |

CSE 291 | Topics in learning theory |

CSE 291 | Distances, similarities, and embeddings |