Discussion of article "Data Science and Machine Learning (Part 06): Gradient Descent"

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New article Data Science and Machine Learning (Part 06): Gradient Descent has been published:

The gradient descent plays a significant role in training neural networks and many machine learning algorithms. It is a quick and intelligent algorithm despite its impressive work it is still misunderstood by a lot of data scientists let's see what it is all about.

Basically, The gradient descent is an optimization algorithm used to find the minimum of a function:

gradient descent article gif

The gradient descent is a very important algorithm in machine learning as it helps us find the parameters for the best model for our dataset, let me first explain the term Cost Function.

Author: Omega J Msigwa

 
There's an error here at the very beginning:

First iteration

Formula: x1 = x0 - Learning Rate * ( 2*(x+5) ) )

x1 = 0 - 0.01 * 0.01 * 2*(0+5)

x1 = -0.01 * 10

x1 = -0.1.

It says 0.01 twice.
You're confusing people.
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