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Tag: Jeffrey Chasnov

Certificate Matrix Algebra for Engineers

My #72 course certificate from Coursera

Posted on October 17, 2021November 10, 2022 by keslerzhu

Matrix Algebra for EngineersThe Hong Kong University of Science and Technology This is undoubtedly a 5-star course. If you want to learn matrix algebra in the shortest time possible, this course will be your excellent choice. It is designed for engineers, so it left out some of the more abstract material for mathematics students. The…

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Eigenvalues and Eigenvectors

Eigenvalues and Eigenvectors

Posted on October 14, 2021November 10, 2022 by keslerzhu

Determinants can tell us whether a matrix has an inverse, and more importantly it can help us solve the eigenvalue problems. The eigenvalue problem is another way to look at a square matrix in terms of scalars called eigenvalues, and vectors called eigenvectors. Determinants If there is inverse to the matrix of A, you can…

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Gram-Schmidt Process, Orthogonal Projections, The least-squares problem

Vector Space & Fundamental Subspaces

Posted on October 8, 2021November 10, 2022 by keslerzhu

A vector space consists of a set of vectors (column matrices) and a set of scalars (real numbers), which is closed under vector addition and scalar multiplication. For example, assuming u, v are 3-by-1 matrices; a, b are real numbers; w = a u + b v is a 3-by-1 matrix. Linear independence A set…

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Matrices & Systems of Linear Equations

Posted on October 1, 2021November 10, 2022 by keslerzhu

Matrix is a rectangular array of numbers. In an m*n matrix, m stands for the number of rows, n stands for the number of columns. When m or n equals to 1, we have row vectors or column vectors, respectively. Addition and Multiplication Adding two matrices (with the same size) is just adding each of…

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American Contract Law I Andrew Ng Anna Koop Brenda Gunderson Christopher Millard Computer Communications Specialization Cryptography Economics of Money and Banking Evgenii Vashukevich Garud Iyengar Ivan Vybornyi Jeffrey Chasnov John Daily Jonathan Katz Kevin Webster Ling-Chieh Kung Machine Learning: Algorithms in the Real World Martin Haugh Mathematics for Engineers Specialization Matthew Hutchens Michael Donohoe Michael Fricke Microsoft Azure Fundamentals AZ-900 Exam Prep Specialization Operations Research (3): Theory Perry Mehrling Petro Lisowsky Physical Basics of Quantum Computing Practical Reinforcement Learning Rebekah May Search Engine Optimization (SEO) Specialization Sergey Sysoev Statistical Thermodynamics Specialization Statistics with Python Specialization Taxation of Business Entities I: Corporations TensorFlow 2 for Deep Learning Specialization U.S. Federal Taxation Specialization Wounjhang Park Xiaobo Zhou Yi Wang 小褘褋芯械胁 小械褉谐械泄 小械褉谐械械胁懈褔

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