In this video series I show you how to graph linear inequalities. When graphing linear inequalities we now have to account ...

Finite mathematics blends algebra, probability, matrices, and finance to tackle real-world problems in business, economics, and social sciences. It’s a go-to course for students seeking applicable, ...

Can You Really Trust AI Math Solvers? If you’ve ever used an AI photo math tool, you’ve probably asked yourself:“Is this ...

This course aims to develop your knowledge in the mathematics topics of linear algebra and calculus, which provides the basic mathematics foundation that is necessary for anyone pursuing a computing ...

Bailey Heugly, right, records the length a ruler dropped to recreate an experiment on reaction time (how long it takes to respond to a stimulus) during a data science class at Lehi High School in ...

Volume 2 applies the linear algebra concepts presented in Volume 1 to optimization problems which frequently occur throughout machine learning. This book blends theory with practice by not only ...

“Mathematics is the art of reducing any problem to linear algebra.” This is a quote often attributed to William Stein, a former mathematics professor at the University of Washington, now the lead ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

Algebra has long been a fundamental part of any high school math curriculum. In many places it's become a fundamental part of the middle school math curriculum, too. In recent years, more students ...

In math, Algebra 1 is a make-or-break course. The class is the gateway to high school math, and struggling to complete it can close off those higher-level pathways—and even jeopardize students’ ...

Diophantus is the father of symbolic Algebra. Credit: LeJyBy CC BY-NC-SA 2.0 The mathematician Diophantus of Alexandria is one of the most important but often underappreciated figures in the history ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, and statistics. These provide the foundation for developing the needed ...