When we think of prime numbers, the first thing that we tend to associate them with is randomness. Prime numbers are scattered all over the number line and there is no fixed formula that can tell you when the next one is going to occur. This has been used heavily by mathematicians and cryptographers to … Continue reading Underlying Pattern Governing The Prime Divisors
Tag: Gaussian
Gaussian Mixture Models
Let's say you have a lot of data and you want to estimate the underlying statistical model. Wait a minute, why on earth would I care about that? Well, if you estimate the model, then you can analyze unknown data that is not under our control. Some of the common examples would be weather estimation, … Continue reading Gaussian Mixture Models
Interpretation of Gaussian Distribution
When we deal with large amount of data, we can't have specific rules for each and every instance. We have to come up with a model which defines the whole data. This model can then be used to analyze unknown inputs. More often than not, the data has some underlying pattern. When we think of a … Continue reading Interpretation of Gaussian Distribution
Probabilistic Randomness Of Stochasticity
Do you see what I did with the title there? Anyway, you must have heard the term 'probability' being used around you. People use it in different contexts and in different forms - "What is the probability that Spain will win the next world cup?" or "I will probably finish reading the book by midnight" … Continue reading Probabilistic Randomness Of Stochasticity
Perpetual Enigma 