Day 92: PCA

Principal Component Analysis [PCA] is incredibly useful when you need [among others] to visualise high-dimensional data. It’s also very…

Day 97: Locally weighted regression

Locally weighted regression is a very powerful non-parametric model used in statistical learning.

Clique in an undirected graph is a subgraph that is complete. Particularly, if there is a subset of k vertices that are connected to each other, we say that graph contains a k-clique.

Day 83: Breaking AES

Two months ago I was breaking OTP cipher and today I am going to focus on a more sophisticated mechanism called padding…

What about some machine learning related topic, today? Rmsprop is a gradient-based optimization technique proposed by Geoffrey Hinton at his Neural Networks Coursera course.

The concept of neural networks has been known for decades, but researchers have been failing to train…

If you plan to implement own parser for a context-free grammar, construction of FIRST and FOLLOW sets will be the first algorithm you will have to spend your time on.

And since definition of formal languages and grammars is much more complicated than we need at…

Let’s begin with a simple algorithm, yet, mind-bending if you have never seen it before. Hanoi tower has a beautiful literate solution using recursion.

Just think of it, we need to move the largest disk to right tower, first. For that, we need to move all but this disk…

Day 88: Perlin noise

It has been 35 years since Ken Perlin has discovered a technique today called Perlin noise to generate a fixed gradient…