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.
Writing on Machine Learning, Advance Math, and Programming
All my articles are written with the goal of helping you learn something new. I hope you enjoy them!
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.
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.
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.