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.
Dive into the foundational elements of Group Theory, from understanding the basic properties of groups to exploring the intricacies of subgroups and generators.
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.
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.