Basic Statistics and Probability

Pricing Derivatives Using Black-Scholes-Merton Model

Programming

Finance

Financial Mathematics

Pricing

Hedging

In this blog, we will explore how to price simple equity derivatives using the Black-Scholes-Merton (BSM) model. We will derive the mathematical formula and then provide…

Some Key Statistical Concepts for Interview Prep

Data Science

Machine Learning

Artificial Intelligence

Statistics

In the world of data analysis and machine learning, statistics plays a vital role in making sense of the data. Whether you’re estimating parameters, testing hypotheses, or…

Bayesian Inference in Machine Learning: Part 1

Machine Learning

Data Science

Bayesian Inference

Bayesian Statistics

Statistics

Bayesian inference is a powerful statistical method that applies the principles of Bayes’s theorem to update the probability of a hypothesis as more evidence or…

Monte-Carlo Methods: PRNGs

Data Science

Computational Mathematics

Number Theory

The Monte Carlo method is a widely used statistical technique that leverages the power of randomness to solve complex mathematical problems and simulate the behavior of…

Review probabilities

Probability

Statistics

In today’s world, getting placement in data science world is highly challenging and competitive. It requires a lot of things including but not limited to basic knowledge in…

Correlation, Bivariate, and Regression Analysis

Data Science

Machine Learning

Artificial Intelligence

Statistics

Correlation and regression are two fundamental concepts in statistics, often used to study relationships between variables. While correlation measures the strength and…

Understanding Law of Large Numbers and Central Limit Theorem

Statistics

Probability

Statistical inference is a fundamental part of data science and machine learning. Two of the most important theorems in probability theory that form the backbone of many…