Writing
Posts
Notes on machine learning, mathematics, and the occasional engineering recipe, written while learning out loud.
- September 2, 20234 min read
Diving into Group Theory: Foundations for Equivariant Neural Networks
Dive into the foundational elements of Group Theory, from understanding the basic properties of groups to exploring the intricacies of subgroups and generators.
- February 22, 202310 min read
The Poisson Distribution: Your Key to Predicting the Unforeseeable
The blog post explores the Poisson distribution, a statistical distribution commonly used in various fields, including astronomy, to model random events. It explains the properties of the distribution, its real-world applications, and provides a step-by-step guide on how to visualize the Poisson distribution using Python. The post also discusses the issue of Poisson noise in astronomical observations and presents a practical example of how to calculate and deal with it using Python.
- February 21, 202315 min read
Dockerize Your Data Science Workflow: A Step-by-Step Guide to Setting Up Jupyter Lab on Your Private Linux Machine
Learn how to set up and deploy a Dockerized Jupyter Lab on a private Linux server, providing a secure environment for data science work. This step-by-step guide covers the installation and configuration of Docker, creation of a Jupyter Lab container, and tips for managing conda environments and accessing the Jupyter Lab interface.
- February 15, 202311 min read
Exploring Gaussian Distribution: Understanding the Math Behind the Bell-Shaped Curve
This blog post delves into the concept of Gaussian Distribution, a popular topic in mathematics and statistics. The post provides a comprehensive explanation of the distribution, including its properties, applications, and examples. Get to know the secrets behind the famous bell-shaped curve and how it is used in various fields. Whether you are a student, researcher, or data analyst, this post has everything you need to know about Gaussian Distribution.