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Stochastic Gradient Descent Explained with Python Code and Example

Stochastic Gradient Descent is a popular optimization algorithm used in machine learning for finding the optimal parameters of a model. In this video, we'll explain how Stochastic Gradient Descent works using a simple mathematical example, and show you how to implement it in Python. We'll also plot the cost over time to demonstrate how the algorithm optimizes the parameters. Whether you're a beginner or an experienced data scientist, this video will help you understand the concepts behind Stochastic Gradient Descent and how to apply it to your own machine learning projects.

Stochastic Gradient Descent
Optimization algorithm
Machine learning
Python code
Mathematical example
Cost function
Gradient descent
Linear regression
Hyperparameters
Parameter optimization
Data science
Artificial intelligence
Tutorial
How-to
Explanation