CS 445 Machine Learning
Fall 2020
Week 8 Study Guide
Learning Objectives
- Express linear regression as a fitting of weights to a linear model of the feature variables
- Utilize gradient descent to find the weights of a linear regression model
- Define logistic regression and how it differs from linear regression
- Define the sigmoid(logistic) function and its role in logistic regression
- Characterize why the cost functions are different between linear regression and logistic regression.
Resources
- Lecture Slides
Labs
Deliverables
| Topic | Description |
| Bias Variance Lab | Complete the in-class assignment and submit to Canvas |
| Random Forest lab | Complete the in-class assignment and submit to Canvas |