AI, Data Science & Cloud Certificates from Google, IBM & Meta
Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Learn the Gram-Schmidt Process in this 33-minute video lecture by University of Oxford Mathematician Dr Tom Crawford. Explore the steps of this algorithm for creating an orthonormal set of vectors, starting with a review of orthonormal sets. Follow along as the lecturer breaks down the process into three key steps: normalizing the first vector, subtracting projections and normalizing subsequent vectors, and repeating for remaining vectors. Gain deeper understanding through detailed explanations, including a direct calculation of inner products and a 2D plane example with projection map visualization. Conclude with a comprehensive worked example in polynomial inner product space, demonstrating the process using integral-defined inner products. Access additional resources, including practice exercises and related video lectures, to reinforce your understanding of this fundamental linear algebra concept.
Syllabus
Oxford Linear Algebra: Gram Schmidt Process
Taught by
Tom Rocks Maths