One way to generalize the concept of entropy to continuous distributions is to introduce uncertainty when measuring a sample point from a continuous distribution. Without such measurement noise, a non-degenerate continuous distribution has infinite e...
Hey there, data enthusiasts! Today, we're diving into the backbone of data analysis: mathematics. We'll explore why maths is crucial for data analysis and introduce three fundamental concepts: statistics, probability, and probability distribution fun...
Generative AI is a transformative field within artificial intelligence that focuses on creating models capable of generating new, synthetic data similar to real-world data. This post explores the foundational concepts, key models, applications, chall...
Before I start, let's have some motivation: "Great things happen to those who don't stop believing, trying, learning, and being grateful." Roy T. Bennett This is the second lesson of the Anomaly Detection lecture series. In this lesson, you going...
In the previous part, we covered The Normal Distribution and The Standard Normal Distribution Today we are gonna explore some more Continuous Distribution. Continuous Distribution: The Student’s T-Distribution👇 We use “t(k)” to define the student's ...
Introduction Continuous probability distributions play an important role in statistical analysis and data science. They are used to model the distribution of continuous random variables and can provide insights into the behavior of real-world phenome...
