Udemy - Numerical Methods and Optimization in Python

Numerical Methods and Optimization in Python



https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.37 GB | Duration: 13h 58m

Gaussian Elimination, Eigenvalues, Numerical Integration, Interpolation, Differential Equations and Operations Research

What you'll 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.)
Requirements
Mathematical background - differential equations, integration and matrix algebra
Description
This course is about numerical methods and optimization algorithms in Python programming language.

*** We are NOT going to discuss ALL the theory related to numerical methods (for example how to solve differential equations etc.) - we are just going to consider the concrete implementations and numerical principles ***