Quartic Roots-Using Adapted Genetic Quadratics
Author(s): Greg Oliver Originally published on Towards AI. Designing Quartics-Simpler With Genetic Quadratics A Quadratic at Heart This member-only story is on us. Upgrade to access all of Medium. In previous posts on Quartic root solutions, I have developed solutions using Quadratics …
Graphing The SIR Model With Python
Author(s): Joaquin de Castro Originally published on Towards AI. Data Visualization, Programming Graphing and solving simultaneous differential equations to model COVID-19 spread If one good thing has come out of the COVID-19 pandemic, it’s the vast amount of data we have acquired. …
Knowing Linear Regression better!!
Author(s): Charanraj Shetty Originally published on Towards AI. Statistics OLS and Gradient Descent Source Regression Introduction Regression is an Algorithm of the Supervised Learning model. When the output or the dependent feature is continuous and labeled then, we apply the Regression Algorithm. …
Top 7 Math Quotes From The Greatest Mathematicians of All Time
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Does the Size of Your Clitoris Matter? Carlyn Beccia in Sexography Women are joining the “grow your clit” movement, but does size increase pleasure?·5 min read·2 days ago 1.7K 19 … Read …
Make Art with Math. Become an Artist
Author(s): Mishtert T Originally published on Towards AI. Phyllotaxis Not only Analysis… R can make beautiful things too… “Mathematics is the science of patterns, and nature exploits just about every pattern that there is. ” (Ian Stewart) Phyllotaxy The arrangement of leaves …
Realbotix and MelNet… Because they Already Can
Author(s): Dr. Adam Hart Originally published on Towards AI. In the 15th Century, mannequins, a type of life-size doll with static articulated limbs, evolved to support the work of dressmakers. At the turn of the 20th Century, David Hilbert famously outlined his …
When Variance and Standard Deviation Fail to Explain Variability!
Author(s): Astha Puri Originally published on Towards AI. We all know the definition of variance — it helps us understand how dispersed the data points are, around the mean. If the data points are far off from the mean, we have larger …
3 Ways Linear Models Can Lead to Erroneous Conclusions
Author(s): ___ Originally published on Towards AI. In this article, I will share 3 ways in which linear models can lead to erroneous conclusions. The focus will be on fitting linear models to simulated data and checking whether the resultant estimates are …
The Non-Convexity Debate in Machine Learning
Author(s): Towards AI Editorial Team Originally published on Towards AI. Unpacking Mean Squared Error’s Impact on Logistic Regression Photo by DeepMind on Unsplash Author(s): Pratik Shukla “If you can’t, you must. If you must, you can.” — Tony Robbins Table of Contents: …
3 Quick Questions from the Hardest Math Test in the World
Author(s): SPX Originally published on Towards AI. Can you solve any of these questions from the William Lowell Putnam Mathematical Competition? Source Question 1. Determine all possible values of the expression A³ + B³ + C³ — 3ABC where A, B, and …
Computer Vision 101: Image Restoration
Author(s): Gabriele Mattioli Originally published on Towards AI. What is noise, and how does it affect images Photo generated by DALL·E 2 • Credit: OpenAI Image restoration is the operation of taking a corrupt/noisy image and estimating the clean, original image. If …
A Quick Introduction to Machine Learning: Part-2 (Regression)
Author(s): Abhijith S Babu Originally published on Towards AI. In this article, we are going to see some of the supervised learning techniques. Before reading this article, read part-1 to have a basic idea about supervised learning. One of the commonly used …
Efficient Nonlinear Function Fitting with Matlab’s nlinfit
Author(s): LucianoSphere Originally published on Towards AI. Powerful and versatile fitting of complex functions with Matlab's nlinfit function Photo by eskay lim on Unsplash Fitting procedures play a crucial role in various scientific and engineering fields, enabling researchers to model and analyze …
Probability theory: Explaining prediction of uncertainty
Author(s): Abhijith S Babu Originally published on Towards AI. Our future, as we all know, is uncertain. Using the techniques available right now, it is nearly impossible to predict the future. But we still make plans for the future, assuming things will …
Probability Theory: Explaining Prediction of Uncertainty
Author(s): Abhijith S Babu Originally published on Towards AI. Our future, as we all know, is uncertain. Using the techniques available right now, it is nearly impossible to predict the future. But we still make plans for the future, assuming things will …
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