If you played NES, you did it too. Did it work?

Someone always asks the math teacher, "Am I going to use calculus in real life?" And for most of us, says Arthur Benjamin, the answer is no. He offers a bold proposal on how to make math education relevant in the digital age.

Randomness is important for all kinds of things, from science to security, but to generate true randomness, engineers have turned to some pretty odd tricks!

For the past few years, airports have been working with game theorists to step up their security game.

Hidden truths permeate our world; they're inaccessible to our senses, but math allows us to go beyond our intuition to uncover their mysteries. In this survey of mathematical breakthroughs, Fields Medal winner Cedric Villani speaks to...

Hank helps us understand the difference between the colloquial meaning of randomness, and the scientific meaning, which is also known as stochasticity. We will learn how, in fact, randomness is surprisingly predictable.

In this video Paul Andersen explains that entropy is simply the dispersion of matter or energy. He begins with a series of video that show the natural direction of processes. According to the second law of thermodynamics the entropy...

From the ancient Egyptian game of Senet to the Aztec's Patolli, games have been played since the beginning of civilization. Today, your host Andre Meadows is going to take a look at a few of these games, including some that are actually...

Like all dataset characteristics, we will look at the impurities in a dataset and how they should be minimum in a good dataset.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning:...

Explore the real chances of winning the lottery and the intricacies of sports betting. This video breaks down the probabilities, the science of randomness, and the strategies players use in hopes of maximizing their winnings. Featuring...

A Monte Carlo simulation is a randomly evolving simulation. In this video, I explain how this can be useful, with two fun examples of Monte Carlo simulations: The first model shows how pi can be determined with Monte Carlo sampling, and...

Quantum physicist Artur Ekert (Oxford and NUS) highlights the importance of a one-time pad to generate secure communication between two parties.

Theoretical physicist and Nobel Laureate Roger Penrose (Oxford) describes how the sun's entropy is harnessed by all manner of life on earth.

Nobel Laureate in Physics Roger Penrose (Oxford) relates his longstanding bemusement at why the early universe was in such a peculiar low state of entropy.

Contextuality might mean that there are no alternatives to Quantum mechanics that are sensible. Given Quantum isnt sensible either, there may just not be any sensible theories at all.

In this video on Tommy John Surgery, I talk about the ups and downs of the recover and how mentally difficult it is.

I explain the basic idea of Bohmian Mechanics and how it gives the same results as Quantum Mechanics with out saying things like "a particle is in more than one place at a time"

In this video, we will look at Bootstrap.
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This clip is from the chapter "Site 1 - Password Generator" of the series "Django 3 - Full Stack Websites with Python Web Development".In this section, we will be working on our...

We’re going to see a type of motion over and over again because it’s all over the microcosmos, found in and around many different types of organisms. And this kind of random motion may seem almost too trivial to discuss, but this motion...

In this video, we will cover simulating coin flips for probability.
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This clip is from the chapter "Applications and Rules for Probability" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...

God does not play dice with the universe' Einstein famously argued. Yet contemporary physics embeds just such dice playing at the core of its account. Is the universe really unknowable even to itself? Or as Einstein implied is this...

In this video, we will understand entropy.
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This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover...

Like all dataset characteristics, we will look at the impurities in a dataset and how they should be minimum in a good dataset.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning:...

This video explains parameter estimates.
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This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section...