Beginner - Expert Linear Algebra, with Practice in Python.
Master Linear Algebra, with clear and concise explanations, Practical Examples in various domains like Machine Learning.
4.46 (54 reviews)
7,624
students
19.5 hours
content
Mar 2023
last update
$59.99
regular price
What you will learn
Understanding Matrix Algebra and applying it in solving linear equations and transformations, with practical examples in Python.
Mastering vectors, vector properties, vector spaces, sub spaces and application in coordinate systems. Fundamental sub spaces and how they can be computed.
Mastery of Orthogonal and Orthonormal vectors and orthogonal projections. Then computing minimal distances & Gram Schmidt orthogonalization.
Matrix Decompositions like eigen, cholesky and singular value decompositions. Mastery of Diagonalization, full rank approximation and low rank approximation.
Matrix inverses, least square and normal equation. Linear Regression and Kaggle House Prediction Practice.
Explaining and deducing Principal Component Analysis (PCA) from scratch and applying it to face recognition using the Eigen Faces algorithm.
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udemy ID
7/15/2020
course created date
10/23/2021
course indexed date
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