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Optimization - Going Down the Hill with Gradient Descent

In this chapter, we will cover:

Optimizing a quadratic cost function and finding the minima using just math to gain insight
Coding a quadratic cost function optimization using Gradient Descent (GD) from scratch
Coding Gradient Descent optimization to solve Linear regression from scratch
Normal equations as an alternative to solve Linear regression in Spark 2.0

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