APMTH 120 - Applied Linear Algebra and Big Data Learning Course

[APMTH 120 - Applied Linear Algebra and Big Data Learning Course] APMTH 120 - Applied Linear Algebra and Big Data: APMTH 120 focuses on the application of linear algebra in handling large-scale data sets (Big Data) and solving computational problems. The course covers topics such as matrix theory, eigenvalues and eigenvectors, singular value decomposition (SVD), and applications in data analysis, machine learning, and network analysis. Emphasis is placed on computational techniques and algorithms for solving linear algebraic problems efficiently. Through hands-on projects and assignments using software tools like MATLAB or Python, students gain practical experience in applying linear algebra to analyze large datasets and develop solutions for modern computational challenges. This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.