- By Howard
- 0 comments

- By Howard
- 0 comments

Many machine learning techniques, including optimization, rely on the use of derivatives to determine how to update a model’s parameter values in order to maximize or minimize an objective function.

We’ll keep looking at how to get the derivatives of functions using different methods. We’ll look at the power, product, and quotient rules in particular,

which can help us get to the derivatives of functions faster than if we had to identify each one from scratch.Hence

for functions that are especially challenging, keeping such rules at hand to find their derivatives will become

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