====== Lectures ======

The course outline is a guideline to topics that will be discussed in the course, and when they will be discussed:

**These materials are for students taking EECS 2021. Do not make and/or distribute illegal copies.**

You can download all the publisher's lecture notes [[https://www.elsevier.com/books-and-journals/book-companion/9780128122754/lecture-slides#Lecture%20Slides|here]]

===== Week 1 (Sep 4th) =====

[[https://www.eecs.yorku.ca/course_archive/2019-20/F/4404E/lectures/lecture0.pdf|Lecture_0]]   **Introduction** (Incomplete -> see lecture 1 for an updated version)

===== Week 2 (Sep 9th)=====

[[https://www.eecs.yorku.ca/course_archive/2019-20/F/4404E/lectures/lecture1.pdf|Lecture_1]]  **Course Outline and ML Introduction**

[[https://www.eecs.yorku.ca/course_archive/2019-20/F/4404E/lectures/lecture2.pdf|Lecture_2]]  **ML classes, Classification, PLA**

===== Week 3 (Sep 16th)=====

[[https://www.eecs.yorku.ca/course_archive/2019-20/F/4404E/lectures/lecture3.pdf|Lecture_3]]  **Regression**

===== Week 4 (Sep 23rd)=====



===== Week 5 (Sep 30th)=====



===== Week 5 (Sep 30th)=====


===== Week 6 (Oct 7th)=====


===== Week 7 (Oct 14th)=====

READING WEEK - NO CLASSES

===== Midterm (Oct 21)=====

===== Drop Deadline =====

Nov 8th - [[https://registrar.yorku.ca/enrol/dates/fw19|Check departmental dates]]