Understanding the Roles/Links between Samples, Inference and Learning Models
I’v alway been confused of the role of statistical inference, sampling and learning models and how they all connect together. Although, I know statistical in...
Recent posts
Imputation : Methods
Today for my IBM project I wanted to learn more about imputation methods, selection of features, types. The following is from Flexible Imputation of Missing ...
Evaluating You’re Clustering Model
This is a continuation of my previous blog post about “Hierarchial Clustering Algorithms”. In this blog i hope to teach you teach you a bit about how to eval...
Hierarchial Clustering: Intuition and Types
Today I faced a bit of a problem on my IBM UNSW data science problem, I have the feature “project_description” which includes a range of inputs ranging from ...
Bayesian statistics vs frequentist statistics : Estimating Probability From Data
Today I was watching Kilian Weinberger lecture on Estimating Probabilities from Data: Maximum Likelihood Estimation” Cornell CS4780 SP17 and now I finally un...