Numerical Methods and Optimization in Python
Gaussian Elimination, Eigenvalues, Numerical Integration, Interpolation, Differential Equations and Operations Research
4.49 (109 reviews)
2 216
students
14 hours
content
Nov 2023
last update
$79.99
regular price
What you will learn
Understand linear systems and Gaussian elimination
Understand eigenvectors and eigenvalues
Understand Google's PageRank algorithm
Understand numerical integration
Understand Monte-Carlo simultions
Understand differential equations - Euler's method and Runge-Kutta method
Understand machine learning related optimization algorithms (gradient descent, stochastic gradient descent, ADAM optimizer etc.)
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Related Topics
1170130
udemy ID
05/04/2017
course created date
21/11/2019
course indexed date
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