Department of Computer Science and Engineering

- Welcome to CSE 417T: Introduction to Machine Learning!
- There will be two in-class exams, with no separate final exam. The dates and logistics for these exams will be announced during the semester.
- Useful resources:

**Instructors:**

Instructor | Lecture Time | Classroom | |

Chien-Ju Ho | chienju.ho at wustl dot edu | Tue/Thu 2:30PM-3:50PM | Hillman / 70 |

**TAs:**

There are several graduate and undergraduate TAs for the class. All assistants will
hold regular office hours, answer questions on Piazza, and grade
homeworks. The list of TAs and their office hours will be announced on Piazza.

- LFD:
*Learning From Data*, Abu-Mostafa, Magdon-Ismail, and Lin.

- CASI:
*Computer Age Statistical Inference*, Efron and Hastie (PDF freely available on the textbook website.)

Date | Topics | Readings | Assignments |

August 30 | Introduction. Course policies. Course overview. Perceptron learning algorithm. | LFD 1.1, 1.2. Slides |
hw0 Submission Instructions |

September 1 | Generalizing outside the training set, Hoeffding's inequality. | LFD 1.3. Slides | |

September 6 | Multiple hypotheses. | LFD 1.3. Slides | |

September 8 | Error and noise. Infinite hypothesis spaces, growth functions. | LFD 1.4; 2.1.1. Slides | hw1 (Due: Sep 23) |

September 13 | VC generalization bound, VC Dimension. | LFD 2.1-2.2. Slides | |

September 15 | Bias-variance tradeoff. | LFD 2.3. Slides | |

September 20 | Linear classification, linear regression. | LFD 3.1-3.2. Slides | |

September 22 | Logistic regression, gradient descent. | LFD 3.3. Slides | hw2 (Due: Oct 7) |

September 27 | Nonlinear transformation. Overfitting. | LFD 3.4 and 4.1. Slides | |

September 29 | Regularization. | LFD 4.2. Slides |