Keyword Analysis & Research: gradient descent is an optimization algorithm


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Frequently Asked Questions

How to do linear regression using gradient descent?

Linear regression does provide a useful exercise for learning stochastic gradient descent which is an important algorithm used for minimizing cost functions by machine learning algorithms. As stated above, our linear regression model is defined as follows: y = B0 + B1 * x.

Does gradient descent work on big data?

Gradient Descent is the most common optimization algorithm and the foundation of how we train an ML model. But it can be really slow for large datasets. That’s why we use a variant of this algorithm known as Stochastic Gradient Descent to make our model learn a lot faster.


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