Random Variables, Distribution function and Distribution Curve: A tutorial

Continuous Random Variable Distribution - Heights of people

What is  a random Variable? Random Variables are a means of assigning numbers to outcomes of random processes or experiments or activities. An example of random variable can be an "outcome of rolling a dice". Let us denote this random variable by symbol "Odice-roll ". The values this random variable can take can be any … Continue reading Random Variables, Distribution function and Distribution Curve: A tutorial

Hypothesis Testing with Controlled Experiments: Computing P-value using Z-statistic

Hypothesis testing with Normal Distribution

Google the word “experiment”, the answer returned is, “a scientific procedure undertaken to make a discovery, test a hypothesis, or demonstrate a known fact” While “Experiment” is a broader term, a controlled experiment specifically is about testing impact of a single factor /variable while the other variables remain constant. Confused? Don’t worry, read ahead. I … Continue reading Hypothesis Testing with Controlled Experiments: Computing P-value using Z-statistic

A Primer on Machine Learning : Unsupervised Learning, Supervised Learning – Regression and Classification

Machine Learning high level summary. Supervised learning, classification, regression, unsupervised learning, clustering

1. What is Machine Learning? Machine learning is the ability of a computer to derive rules and patterns from given set of data. To derive these insights statistical tools are deployed through machine learning algorithms. Machine Learning algorithms break down the data (aka training data) to formulate best-fit mathematical models. Machine Learning can be broadly … Continue reading A Primer on Machine Learning : Unsupervised Learning, Supervised Learning – Regression and Classification