Mathematics for Machine Learning 🧠
EECS 245, Fall 2026 at the University of Michigan
Lectures: Tuesdays and Thursdays, 10:30AM-12PM, 1010 DOW • Labs: Various times on Wednesday
Week 1: Welcome! 👋
- Tue Sep 1
LEC 1 Introduction
- Wed Sep 2
LAB 1 Math Foundations and Environment Setup
- Thu Sep 3
LEC 2 Models and Loss Functions
Week 2: Linear Regression
- Tue Sep 8
LEC 3 Empirical Risk and Simple Linear Regression
- Wed Sep 9
LAB 2 Empirical Risk and Simple Linear Regression
- Thu Sep 10
LEC 4 Simple Linear Regression
- Fri Sep 11
SUR Welcome Survey
- Sun Sep 13
HW 1 Means, Sums, and Calculus
Week 3: Vectors
- Tue Sep 15
LEC 5 Correlation; Introduction to Vectors
- Wed Sep 16
LAB 3 Introduction to Vectors
- Thu Sep 17
LEC 6 Linear Combinations and the Dot Product
- Sun Sep 20
HW 2 Empirical Risk and Simple Linear Regression
Week 4: Projections and Linear Independence
- Tue Sep 22
LEC 7 Projections
- Wed Sep 23
LAB 4 Orthogonality and Projections
- Thu Sep 24
LEC 8 Span
- Sun Sep 27
HW 3 Vectors and the Dot Product
Week 5: Linear Independence and Subspaces
- Tue Sep 29
LEC 9 Planes and Linear Independence
- Wed Sep 30
LAB 5 Span, Linear Independence, and Subspaces
- Thu Oct 1
LEC 10 Subspaces
- Fri Oct 2
- Sun Oct 4
Week 7: Rank and Inverses
- Tue Oct 13
LEC 12 Rank and Column Space
- Wed Oct 14
LAB 6 Rank and Column Space
- Thu Oct 15
LEC 13 Null Space, Rank-Nullity, and Inverses
- Sun Oct 18
HW 5 Matrices
Week 8: Fall Break 🍂; Linear Transformations
- Tue Oct 20
No Lecture: Fall Break 🍂
- Wed Oct 21
LAB 7 Null Space and Inverses
- Thu Oct 22
LEC 14 Inverses and Linear Transformations
- Sun Oct 25
HW 6 Rank and Inverses
Week 9: Projections and Regression
- Tue Oct 27
LEC 15 Projections, Revisited
- Wed Oct 28
LAB 8 Inverses and Projections
- Thu Oct 29
LEC 16 Multiple Linear Regression
- Sun Nov 1
HW 7 Inverses, Projecting onto the Column Space
Week 10: Gradients
- Tue Nov 3
LEC 17 The Gradient Vector
- Wed Nov 4
LAB 9 Multiple Linear Regression and Gradients
- Thu Nov 5
LEC 18 Gradients and Gradient Descent
- Sun Nov 8
HW 8 Regression using Linear Algebra
Week 11: Gradient Descent and Eigenvalues
- Tue Nov 10
LEC 19 Gradient Descent and Convexity
- Wed Nov 11
LAB 10 Gradient Descent and Convexity
- Thu Nov 12
LEC 20 Eigenvalues and Eigenvectors
- Fri Nov 13
REV Practice Exam (2:30-5:30PM, 1013 DOW)
From 2:30-4:30PM, you will take Spring 2026 Midterm 2. From 4:30-5:30PM, we will take it up. The review will be recorded.
- Sun Nov 15
HW 9 Multiple Linear Regression and Gradients
Week 12: Midterm 2; Eigenvalues
- Tue Nov 17
OH Office Hours in Lecture
EXAM Midterm 2 (7-9PM; 1013 DOW)
- Thu Nov 19
LEC 21 Eigenvalues and Eigenvectors, Continued
- Sun Nov 22
HW 10 Practical Machine Learning, Eigenvalues
Week 13: Eigenvalues; Thanksgiving 🍁
- Tue Nov 24
LEC 22 Adjacency Matrices and Diagonalization
- Wed Nov 25
No Lab: Thanksgiving 🍁
- Thu Nov 26
No Lecture: Thanksgiving 🍁
Week 14: Diagonalization and SVD
- Tue Dec 1
LEC 23 Diagonalization, Spectral Theorem, SVD
- Wed Dec 2
LAB 11 Diagonalization, Spectral Theorem, SVD
- Thu Dec 3
LEC 24 Singular Value Decomposition
- Sun Dec 6
HW 11 Diagonalization