Module 3#
Intuition behind cost function#

Linear Regression#







Stochastic Gradient Decent#

Logistic vs Linear Regression#
Linear is used to predict continuous numbers (Numerical) whereas the Logistic regression is used to predict a categorical value.

Logistic regression#
- A logistic function
Sigmoid Function#

- It takes a real value and outputs a value between 0 and 1
- Maps input horizon to a bounded symmetrical output range
- Examples
- Logistic Function
- Hyperbolic Tangent
- Conditional probability of a random variable can be a sigmoid function
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