Skip to main content
Link
Menu
Expand
(external link)
Document
Search
Copy
Copied
EECS 398
🏡 Home
📖 Syllabus
📆 Calendar
⚙️ Environment Setup
📚 Resources
🧑🤝🧑 Guides
🤖 Machine Learning
Maximum Likelihood Estimation
🧮 Linear Algebra
1. Vectors and angles
2. Linear combinations
3. Matrices
4. Projections
5. Eigenvalues
6. Gradients
7. Application: PageRank
8. Other resources
👩🏫 Staff
💾 Archive
GitHub
🧠 Study
Ed
Gradescope
🤔 Lecture Questions
📬 Feedback
🧑🤝🧑 Guides
🤖 Machine Learning
🤖 Machine Learning
See below for our guides on machine learning. More will be added as the semester progresses.
Table of contents
Maximum Likelihood Estimation