In one of our earlier posts, we have seen how we can visually relate the parts of the one-dimensional Gaussian distribution equation. In this post, we will follow the same strategy to understand the terms that comes up with a Multivariable Gaussian distribution. We will focus on the Bivariate Gaussian distribution as distributions of higher-order …
Gaussian distribution appears in various parts of science and engineering. Apart from a distribution often appear in nature, it has got important properties such as its relation to Central Limit Theorem (CLT). The figure above shows one-dimensional Gaussian distributions of various mean and variance values. Libraries like NumPy provide functions that can return Gaussian distribution …
A Markov Decision Process (MDP) is a mathematical framework used to model decision-making situations where the outcome of a decision depends on both the current state of the system and the actions taken by the decision maker. In an MDP, the decision maker is represented as an agent, and the system is represented as a …
Introduction In this post, let’s take a look at the intuition behind Naive Bayes Classifier used in machine learning. Naive Bayes classifier is one of the basic algorithms often encountered in machine learning applications. If linear regression was based on concepts from linear algebra and calculus, naive Bayes classifier mostly backed up by probability theory. …
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Did you ever needed to do automated PDF creation using a table of information?. Creating a Word document with certain formatting, styles, and tables would be the easy choice for a few pages of data. But what if you have data that might fill 100+ pages?. Would you do it by hand? or can we …
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Here in this article, I explain how to do inset plotting using Python. Inorder to do that, we will be using Python programming language and a famous plotting library named matplotlib. Let us start with a story to understand the requirement. A use case scenario Once upon a time, there was a scientist named Sarah. …