Logistic Regression

Total time needed: ~2 hours
Learning Objectives
Understand the concept of Logistic Regression
Potential Use Cases
Deep Learning Mathematical Foundations
Target Audience
BEGINNERDeep Learning practitioners new to Mathematical foundations
Go through the following annotated items in order:
OTHER 1. Sigmoid Function
  • How does sigmoid curve look like?
  • What's the derivative of the Sigmoid function?
  • What's the integral of the Sigmoid function?
10 minutes
VIDEO 2. Regression
  • Why is regression useful?
  • What's the equation for a linear regression?
  • How does linear regression works?
13 minutes
ARTICLE 3. Logistic Regression
  • What is logistic regression?
  • How can I use logistic regression with an example?
  • How can I use logistic regression in Python (Sklearn)?
15 minutes
ARTICLE 4. Logistic Regression
  • What is Wrong with Linear Regression for Classification?
  • How can logistic regression results be interpreted?
  • What are the advantages and disadvantages of Logistic Regression?
15 minutes
BOOK_CHAPTER 5. Logistic Regression
  • What is the difference between naïve Bayes and Logistic Regression?
  • What is logistic regression?
  • What advantages has the sigmoid function?
15 minutes

Concepts Covered