In my previous article about k-Nearest Neighbor, I have shown you how I see this algorithm. However, it was terribly slow: my computer was calculating it for full 3 days. Some research shown that NumPy is the way to go here. I know that NumPy is used a lot in […]
Yearly Archives: 2017
6 posts
There is a big buzz around the whole machine learning and neural networks. But they are pretty difficult at first. So I began with where most people begin. First Machine Learning algorithm that I wrote myself, from first to last character is k Nearest Neighbor (or kNN). For example, parametric […]
Machine learning for me was like a some mythical black box magic surrounded by a thick mist and small gnomes protecting it. Only most courageous ones with enough work and some mathemagic dust shall pass the protection and enter the land of knowledge. I never shy away from challenges that support my […]
I want to share with you a story about one student. He realized that sometimes he was behaving like robot: doing same thing over and over. He wanted to automate his business. So, he goes to lectures, works his ass off. He comes back home and at least takes a […]
I was conducting this experiment about variance of sample. All I needed was a program that does a lot of calculations. So I did that and it took a long time. I didn’t even wait till the end since I knew that after 2 hours it will take at least […]
One beautiful day I was watching statistics lessons on Khan Academy about variance and standard deviation of sample. To give a quick intro, variance for population is defined by formula \( \sigma^2 = { { \sum_{i=1}^N ( x_i – \mu )^2 } \over N } \) , but for sample, it is \( S^2 […]