Mathematics The Things That Mathematics Cannot Explainmedium.com - Ali Kayaspor There are some mind blowing facts and games related to mathematics that even mathematics cannot explain. I just like to call those facts “The …

The Heat Equation: Forcingmedium.com - Panda the Red Note: This article uses UNICODE for some inline formulas. If you see an empty box symbol in the text, this means that a character has not rendered …

Geometry Spheres, Planes and Hyperbolic Geometrymedium.com - Marguerite Siboni Visualizing negative curvature, positive curvature and no curvature through crochet and masking tape When Dr. Daina Taimina was a student, she took a …

Mathematics The Heat Equation, explainedmedium.com - Panda the Red A partial differential equation is an equation that relates a function of more than one variable to its partial derivatives. To introduce PDEs, we’re …

Apples The Math Problems from Good Will Hunting, w/ solutionsmedium.com - Jørgen Veisdal The purpose of this article is to narrate the reader through solutions to the two math problems solved by the fictional character Will in the 1997 …

Mathematics How Euclid’s Brain Worksmedium.com - Ali Kayaspor Indeed, in the eyes of Euclid, mathematics was so important because it is purely truth-oriented, and it has the beauty of art and value of abstract …

Beating the Dealer with Simple Statisticstowardsdatascience.com - Marco Santos Simulating Thousands of Blackjack Card Counting Strategies with Data Science Tools Blackjack is one of the simplest games to play at a casino. It is …

Geek The Poisson Process: Everything you need to knowtowardsdatascience.com - Sachin Date Learn about the Poisson process and how to simulate it using Python Let me begin by tickling your curiosity a little bit. Let’s look at how a Poisson …

Science Quanta Magazine - Illuminating Science | Quanta MagazineQuanta Magazine - Natalie Wolchover A new measurement appears to have eliminated an anomaly that had captivated physicists for nearly a decade. There are many different ways to think …

Statistics Probability Learning IV : The Math Behind Bayestowardsdatascience.com - Jaime Zornoza After the two previous posts about Bayes’ Theorem, I got a lot of requests asking for a deeper explanation on the maths behind the regression and …

FlipboardIcon version of the Flipboard logo Sampling Techniquestowardsdatascience.com - Seema Singh Sampling helps a lot in research. It is one of the most important factors which determines the accuracy of your research/survey result. If anything …

Aspirin What Statistics Can and Can’t Tell Us About OurselvesThe New Yorker - Hannah FryIn the era of Big Data, we’ve come to believe that, with enough information, human behavior is predictable. But number crunching can lead us perilously wrong. Harold Eddleston, a seventy-seven-year-old

Mathematics Math Wars: The Rise of Mathematicsmedium.com - Sunil Singh There has been quite the cliched battle in math education between something called “Traditionalists” vs. “Reformists” for a few generations now. But, …

Geometry Spheres, Planes and Hyperbolic Geometrymedium.com - Marguerite Siboni Visualizing negative curvature, positive curvature and no curvature through crochet and masking tape When Dr. Daina Taimina was a student, she took a …

Calculus Multivariate Differential Calculus and Optimization-Part 1towardsdatascience.com - Valentina Alto Differential calculus is a powerful tool to find the optimal solution to a given task. When I say ‘optimal solution’, I’m referring to the result of …

Higgs Boson P-values Explained By Data Scientisttowardsdatascience.com - Admond Lee I remember when I was having my first overseas internship at CERN as a summer student, most people were still talking about the discovery of Higgs …

Reinforcement Learning Reinforcement Learning : Markov-Decision Process (Part 2)towardsdatascience.com - Ayush Singh This story is in continuation with the previous, Reinforcement Learning : Markov-Decision Process (Part 1) story, where we talked about how to define …

Machine Learning Markov Networks: Undirected Graphical Modelstowardsdatascience.com - Kushal Vala This article briefs you about Markov Networks which falls under the family of Undirected Graphical Models (UGM). This article is a follow-up to Bayesian …

Probability Probability Learning III: Maximum Likelihoodtowardsdatascience.com - Jaime Zornoza After the two previous posts about Bayes’ Theorem, I got a lot of requests asking for a deeper explanation on the maths behind the regression and …

Mathematics The Poincaré Conjecturemedium.com - Jørgen Veisdal Poincaré declared his motivation for establishing a new branch of mathematics devoted to topology, or ‘the study of geometric objects undergoing …

China The Pigeonhole principlemedium.com - Jørgen Veisdal The three cases illustrate three types of functions from a domain (“pigeons”) to a codomain “pigeonholes” which can be mapped to one another: Case A: …

Statistics What’s the difference between analytics and statistics?towardsdatascience.com - Cassie Kozyrkov Statistics and analytics are two branches of data science that share many of their early heroes, so the occasional beer is still dedicated to lively …

Equal Visualizing Eigenvalues and Eigenvectorstowardsdatascience.com - Valentina Alto Eigenvalues and Eigenvectors are a very important concept in Linear Algebra and Machine Learning in general. In my previous article, I’ve been …

Equations The geometric interpretation of 3D lines and planestowardsdatascience.com - Valentina Alto Linear Algebra is that branch of calculus whose objects live beyond ℝ. Those objects might be coordinates in the spaces (hence points) or …

Probability Mathematics in Real Life: Conditional Probabilitymedium.com - Daniel Brereton Without getting too technical, this all centers around the fact that more knowledge and information allows us to make better decisions. On average …

Coin Collecting Fun with the Binomial Distributiontowardsdatascience.com - Tony Yiu Understanding the Lesser Known Cousin of the Normal Distribution and How to Apply It Everyone knows and loves the normal distribution. It is used in a …

Statistics Probabilistic Graphical Models: Bayesian Networkstowardsdatascience.com - Kushal Vala In this article, I will be giving a detailed overview of Bayesian Networks which forms a class of Directed Graphical Models (DGM). I will be covering …

Understanding The Math Behind Dimension Reduction in Facial Recognition(1)medium.com - Xiaoli Jin Read my beginner-friendly proofs to explore the application of linear algebra Dimension reduction is a common technique in computer science that most …

Probability What is Probability?towardsdatascience.com - Devin Soni From a young age, we are taught about probabilities — often through the use of simple examples such as coin flips or dice throws. However, what is the …