#263 Describe how the concept of Gradient

Describe how the concept of Gradient  - Computer Science

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Describe how the concept of Gradient Descent helps in formulating linear regression based solution. Mention problems of gradient descent algorithm, can you suggest how we can solve it?

subject: machine learning

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Free Chegg Answer

Gradient Decent is most important method used in ML and DL. Gradient Decent is used while combining training data models with each algorithm.
It is an Optimization Algorithm to find local minimum of a differential function. It is used to find value of function parameter which minimizes the cost function. Whenever in ML you do linear regression sepcifially used for classification problems.
Whenever you do regression your main goal is to fit a line and which is a best fit.
for example we have 5 points on two dimesional axis X and Y. There are n number of ways to fit a line.
Now we draw a line which gave us to different region one is Negative and other is positive region.
Here is the hand written solution for the problem