Gram-Schmidt Process Courses and Certifications

Tom Rocks Maths

Gram-Schmidt Process in Linear Algebra - Oxford University Lecture

Learn the Gram-Schmidt Process for creating orthonormal vector sets. Covers definition, steps, calculations, and examples in 2D plane and polynomial inner product space.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Derek Banas

Gram-Schmidt Process in Linear Algebra - Lecture 27

Learn the Gram-Schmidt Process to transform linearly independent vectors into an orthonormal basis, a crucial technique in linear algebra with applications in various fields of science and engineering.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Linear Algebra: Orthogonality and Diagonalization

46 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
• Paid Course

Linear Algebra and Geometry 2

300 ratings at Udemy

Much more about matrices; abstract vector spaces and their bases; linear transformations animated with MANIM

• Udemy
• 1 day 23 hours 9 minutes
• On-Demand
• Paid Course

Linear Algebra and Geometry 3

123 ratings at Udemy

Inner product spaces, quadratic forms, symmetric matrices: more advanced problem solving; singular value decomposition

• Udemy
• 2 days 3 hours
• On-Demand
• Paid Course

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

IIT Bombay;  NPTEL

Basic Linear Algebra

Linear Algebr is a basic course for students intended to go for Engineering sudies and higher studies in Mathematics. We will cover the basic tools needed in these brances.

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

Tom Rocks Maths

Oxford Linear Algebra - Spectral Theorem Proof

Comprehensive proof of the Spectral Theorem for real symmetric matrices, demonstrating real eigenvalues and diagonalization using eigenvector basis. Includes step-by-step explanation and mathematical reasoning.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Wrath of Math

Orthogonal Diagonalization Explained - Linear Algebra

Explore orthogonal diagonalization in linear algebra, covering symmetric matrices, eigenvectors, and the Gram-Schmidt process. Includes step-by-step examples and proofs of key theorems.

• YouTube
• 17 minutes
• On-Demand
• Free Video

ACM SIGPLAN

Towards Verified Linear Algebra Programs Through Equivalence

Explore a framework for verifying numerical algorithm variants, focusing on proving equivalence between Modified Gram-Schmidt and Classical Gram-Schmidt orthogonalization processes for scientific computing applications.

• YouTube
• 22 minutes
• On-Demand
• Free Video

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

Orthogonality

Explora conjuntos ortogonales, proyecciones, desigualdad de Cauchy-Schwarz, proceso de Gram-Schmidt, descomposición QR, regresión lineal, espacios de producto interno, polinomios de Legendre y series de Fourier.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

The Bright Side of Mathematics

Linear Algebra

Umfassende Einführung in die lineare Algebra mit Schwerpunkt auf Matrizen, Determinanten, Eigenwerte und komplexe Zahlen. Praktische Anwendungen und Übungen vertiefen das Verständnis.

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