Fall 2014 | CSE 101 | Algorithms |

CSE 291 | Topics in learning theory | |

Winter 2015 | CSE 250B | Machine Learning |

Some courses from previous years:

CSE 101 | Algorithms | W03, F03, F05, W07, F07, W09, F11, F12, F13 |

CSE 103 | Probability and statistics | W10, F10 |

CSE 190 | Computational linear algebra | S09 |

CSE 250B | Machine learning | S04, W06 |

CSE 254 | Seminar: inference in graphical models | F05 |

CSE 254 | Seminar: embeddings | W07 |

CSE 254 | Seminar: deep learning | W12 |

CSE 291 | Probabilistic AI | S03, S05 |

CSE 291 | Learning theory I (supervised learning) | F06 |

CSE 291 | Topics in unsupervised learning | F04, S08 |

CSE 291 | Bayesian methods | W13 |

CSE 291 | Geometric algorithms | S13 |