Gradient Descent For Machine Learning

Last Updated on August 12, 2019

Optimization is a big part of machine learning. Almost every machine learning algorithm has an optimization algorithm at it’s core.

In this post you will discover a simple optimization algorithm that you can use with any machine learning algorithm. It is easy to understand and easy to implement. After reading this post you will know:

• What is gradient descent?
• How can gradient descent be used in algorithms like linear regression?
• How can gradient descent scale to very large datasets?
• What are some tips for getting the most from gradient descent?

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Gradient Descent

Gradient descent is an optimization algorithm used to find the values of parameters (coefficients) of a function (f) that minimizes a cost function (cost).

Gradient descent is best used when the parameters cannot be
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