Gradient descent for linear regression

Gradient descent for linear regression

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The starting point for all optimization theory and machine learning is the idea that we can use calculus to automatically step by step change the result towards improvement. In this course, we will apply this idea to a linear model.

Complete this visualization code

Visualization of the derivative

Derivative with respect to b

Derivative with respect to k

Complete the loop of approaching optimal

Vectors of derivatives

Visualization of the gradient direction

Complete the gradient descent

Course Content

Gradient descent for linear regression

Gradient descent for linear regression

Complete this visualization code Visualization of the derivative Derivative with respect to b Derivative with respect to k Complete the loop of approaching optimal Vectors of derivatives Visualization of the gradient direction Complete the gradient descent

Derivative with respect to b

Task

Write function that returns derivative of the loss function (𝑘𝑥+𝑏−𝑦)² with respect to b. Draw it's graph for x=2, y=5, k=1

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Task

Write function that returns derivative of the loss function (𝑘𝑥+𝑏−𝑦)² with respect to b. Draw it's graph for x=2, y=5, k=1

Mark tasks as Completed

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Section 1. Chapter 3

AVAILABLE TO ULTIMATE ONLY

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