Orthogonality Courses and Certifications

Linear Algebra: Orthogonality and Diagonalization

27 ratings at Coursera

Explore orthogonality, diagonalization, and symmetric matrices, gaining skills applicable to AI and machine learning. Develop a strong foundation for advanced studies in data science and mathematics.

• Coursera
• 9 hours 15 minutes
• On-Demand
• Free Online Course (Audit)

Linear Algebra

Master matrix theory and linear algebra, exploring systems of equations, vector spaces, determinants, eigenvalues, and applications in various disciplines. Gain practical skills for solving complex mathematical problems.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Matrix Methods

238 ratings at Coursera

Explore fundamental matrix methods essential for machine learning and data analysis, including multiplication, linear equations, orthogonality, and SVD for dimensionality reduction and PCA.

• Coursera
• 6 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD

1 review

This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.

• edX
• 3 weeks, 5-6 hours a week
• On-Demand
• Free Online Course (Audit)

Become a Linear Algebra Master

5778 ratings at Udemy

Learn everything from Linear Algebra, then test your knowledge with 400+ practice questions

• Udemy
• 15 hours 53 minutes
• On-Demand
• Paid Course

Linear Algebra I: Vectors and Linear Equations

This course provides an overview of bachelor-level linear algebra. You will review all the concepts and practice and refresh the skills related to vectors and linear equations.

• edX
• 6 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Linear Algebra

1 review

Explore fundamental concepts and techniques of linear algebra, from solving systems to eigenvalues, with emphasis on both theory and practical applications.

• YouTube
• 10 hours
• On-Demand
• Free Video

NPTEL;  IISc Bangalore

Advanced Matrix Theory and Linear Algebra for Engineers

1 review

Comprehensive exploration of advanced linear algebra concepts for engineers, covering vector spaces, transformations, orthogonality, diagonalization, and singular value decomposition.

• YouTube
• 1 day 14 hours
• On-Demand
• Free Video

NPTEL;  IIT Kanpur

Linear Algebra

Comprehensive exploration of linear algebra fundamentals, covering matrices, linear systems, vector spaces, transformations, and inner product spaces, with a focus on theoretical concepts and practical applications.

• YouTube
• 1 day 8 hours
• On-Demand
• Free Video

Machine Learning Foundations: Linear Algebra

1077 ratings at LinkedIn Learning

Explore the fundamentals of linear algebra, the mathematical foundation of machine learning algorithms.

• LinkedIn Learning
• 1 hour 21 minutes
• On-Demand
• Free Trial Available

Linear Algebra

To illustrate the beauty and power of Linear Algebra.

• XuetangX
• On-Demand
• Free Online Course

Mastering Linear Algebra: An Introduction with Applications

58 ratings at The Great Courses Plus

Take your math skills to a new level with linear algebra, which is used in everything from computer graphics to quantum mechanics.

• The Great Courses Plus
• 12 hours 2 minutes
• On-Demand
• Free Trial Available

Beijing Jiaotong University

Linear Algebra with Applications

Master fundamental linear algebra concepts and their real-world applications, from solving linear equations to web search algorithms, population modeling, and computer image transformation.

• XuetangX
• On-Demand
• Free Online Course

Functional Analysis and its Applications

Explore advanced mathematical concepts in vector spaces, operators, and abstract analysis while mastering fundamental theorems and their practical applications in science and engineering.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Advanced Matrix Theory and Linear Algebra for Engineers

Comprehensive exploration of advanced linear algebra concepts for engineers, covering vector spaces, transformations, orthogonality, diagonalization, and singular value decomposition.

• YouTube
• 1 day 8 hours
• On-Demand
• Free Video