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Standard Normal Distribution with examples using Python

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"Don't be a hero"....  from Andrej Karpathy in his CS231 Course on CNNs.

I started this blog with an aim to demystify a lot of concepts in AI, Data Science which are useful and which we take for granted. As Einstein says, if you cannot explain any concept to a 6-year-old kid, you probably don't understand it well yourself.

I am an ML professional for the last 12 years and I primarily work on Computer Vision and Natural Language Processing. During this journey, I have learnt a lot from brilliant minds all across the world primarily due to the Internet.

The goal of this project is to blog on a wide variety of topics concerning AI and help fellow ML professionals and people starting out in their ML journey to accelerate their learning.

"A journey of a thousand miles begins with a single step"

Keep Learning and Enjoy the Journey!!!

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Standard Normal Distribution with examples using Python

Standard Normal Distribution with examples In our previous post, we talked about Normal Distribution and its properties . In this post, we extend those ideas and discuss about Standard Normal Distribution in detail. What is a Standard Normal Distribution? A Normal Distribution with mean 0 and standard deviation 1 is called a Standard Normal Distribution . Mathematicallty, it is given as below. Fig 1:Standard Normal Probability Distribution Function For comparison, have a look at the Normal Probability Distribution Function. If you substitute mean as 0 ,standard deviation as 1, you derive the standard normal probability distribution function Fig 2: Normal Probability Distribution Function Need for a standard normal probability distribution function We need to extract probability information about events that we are interested in. For this, first we need to convert any normal random variable