Statistical Analysis Articles

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Gianluca Malato Gianluca Malato
Updated on January 23, 2025

An Introduction to the Shapiro-Wilk Test for Normality

The Shapiro-Wilk test is a hypothesis test that is applied to a sample whose null hypothesis is that the sample has been generated from a normal distribution.

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Mike Hyzy Mike Hyzy
Updated on January 17, 2025

How Will AI Change the World by 2050?

The question isn’t whether machines will replace us, but how we’ll use our newfound capabilities to become more deeply, magnificently human than ever before.

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Mike Hyzy Mike Hyzy
Updated on January 17, 2025

How Will Tech Change Humanity 25 Years From Now?

The coming decades present humanity with an opportunity to transcend our biological limitations while deepening our understanding of what it means to be human.

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K. Jagathish K. Jagathish
Updated on December 16, 2024

How to Find Values in a JavaScript Array

Finding a value in an array is useful for effective data analysis. Learn how to discover what a JavaScript Array contains using indexOf, includes, for loop, some methods and more.  

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Judah Taub Judah Taub
Updated on October 22, 2024

How to Overcome Algorithmic Confirmation Bias

It’s all about asking the right questions.

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Sara A. Metwalli Sara A. Metwalli
Updated on September 05, 2024

What Is the Gamma Distribution?

The Gamma distribution is one of the most popular and commonly used continuous time distributions because it has many real-world applications. Here are some examples.

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Madiha Jamal Madiha Jamal
Updated on August 19, 2024

Why Math Is Vital to Thrive In Your AI Career

Math concepts like linear algebra, calculus and probability are what powers artificial intelligence. Here’s how they can help you advance in your AI career. 

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Vivek Vinushanth Christopher Vivek Vinushanth Christopher
Updated on August 14, 2024

Understanding the Hidden Markov Model

Hidden Markov models are probabilistic frameworks where the observed data are modeled as a series of outputs generated by one of several internal, hidden states.

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Risto Hinno Risto Hinno
Updated on August 09, 2024

Singular Value Decomposition (SVD) Algorithm Explained

Singular value decomposition (SVD) is a matrix factorization method that generalizes the eigendecomposition of a square matrix to any matrix. Here’s how it works.

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Caleb Briggs and Rex Briggs Caleb Briggs and Rex Briggs
Updated on August 09, 2024

This Industry Is Most at Risk of Being Replaced by AI

Leaders, here’s how you can prepare for the job displacements AI could bring.

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