The purpose of this repository is not to implement machine learning algorithms by using 3rd party library one-liners but rather to practice implementing these algorithms from scratch and get better understanding of the mathematics behind each algorithm. That's why all algorithms implementations are cal...
The purpose of this repository is not to implement machine learning algorithms by using 3rd party library one-liners but rather to practice implementing these algorithms from scratch and get better understanding of the mathematics behind each algorithm. That's why all algorithms implementations are cal...
you need to excel in mathematics. Mathematics can enhance analytical thinking, a skill that’s vital in AI. People often think AI is magic, but it isn’t. It’s mathematics that creates the magic behind these inventions. To lead in today’s AI-driven world, you need to master mathematica...
Dive deep into the math behind vectors and matrices. Learn a wide assortment of computational methods and conceptual connections that unify into an elegant whole. Multivariable Calculus Generalize your understanding of calculus to vector-valued functions and functions of multiple variables. Methods of Pro...
These findings serve as useful baseline data to compare with student outcomes during and after the No Child Left Behind Act and will ultimately inform transition planning for secondary students with disabilities.doi:10.1177/1044207312468766Lombardi, A....
In this article, we have looked at the mathematics behind the machine learning techniques linear regression, linear discriminant analysis, logistic regression, artificial neural networks, and support vector machines. For more details about the math behind machine learning, visit:Math for Machine Learning...
If you work "too closely" with another student on an assignment, you won't understand how to complete subsequent assignments, and you will quickly fall behind. You should view collaboration as a way to improve your understanding, not as a way to do less work. Accommodations for Disabilities ...
The mathematics behind the proposed models is rather simple and can be implemented in an Excel file that can be used by most decision makers and medical doctors. Based on real data that most countries/regions produce daily, these regression models can be identified in terms of their adaptive ...
This series of tutorials is focused on classical machine learning (regression, classification, dimensional reduction, and so on). I will discuss the basics, the math behind models, and how to implement them. Introduction to medical image analysis Articlesnotebookdescription Introduction to medical imag...
($x); // same as signum // Logistic function (logistic sigmoid function) $x₀ = 2; // x-value of the sigmoid's midpoint $L = 3; // the curve's maximum value $k = 4; // the steepness of the curve $x = 5; $logistic = Special::logistic($x₀, $L, $k, $x); //...