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Method behind Madness: Linear Regression - Part 2

In Simple Linear Regression, where we had only two variables, made a 2D plot. The "best fit" linear model there was a line. In case of three variables, the points are gonna make a 3D plot. In this case, the "best fit" linear model is a plane! What about 'n' variables and hence 'n' dimensions?

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#Machine Learning

Batch Gradient Descent: The math and the code

Gradient Descent is the Algorithm behind the Algorithm. It is the heart of Machine Learning. Batch Gradient Descent is probably the most popular of all optimization algorithms and overall has a great deal of significance. To try and fully understand the algorithm, it is important to look at it without shying away from the math behind it.

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#Machine Learning

Method behind Madness: Linear Regression - Part 1

Linear Regression is simply one of those algorithms that came from statistics. It's deception lies in how powerful it can be in certain scenarios. To understand Linear Regression, we must go eat first.

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#Machine Learning

Blazing fast Website, little to no effort

Hugo is based is on Golang and it claims to be the fastest framework for building websites. It's fast, minimalistic, has a decent community and an increasing amount of people are switching over to it.

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#Blog

Chapter 0: Python

The first step to amassing knowledge is having a good handle on the language. As it turns out, the same is applicable to Machine Learning. Python being the brightest torch in this dimly lit alley, is the obvious choice.

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#Machine Learning