Covers: application of Sigmoid Function
Estimated time needed to finish: 10 minutes
Questions this item addresses:
  • How does sigmoid curve look like?
  • What's the derivative of the Sigmoid function?
  • What's the integral of the Sigmoid function?
How to use this item?

This is an interactive tool. You should change the minimum and maximum values and see how the different figures change.

Author(s) / creator(s) / reference(s)
Eric W. Weisstein
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Logistic Regression

Contributors
Total time needed: ~2 hours
Objectives
Understand the concept of Logistic Regression
Potential Use Cases
Deep Learning Mathematical Foundations
Who is This For ?
BEGINNERDeep Learning practitioners new to Mathematical foundations
Click on each of the following annotated items to see details.
Resources5/5
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

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