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Udemy - Applied Optimization - Linear, Nonlinear, and ML Focus

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Udemy - Applied Optimization - Linear, Nonlinear, and ML Focus (Size: 3 GB)
  1 -Course Overview.mp4 51.7 MB
  1 -Human Learning Vs. Machine Learning.mp4 143.3 MB
  1 -Lagrange multiplier method.png 485.7 KB
  1 -Mathematical modelling of linear optimization problem - Case Study 1.mp4 163.4 MB
  1 -Session 5 - Linear Optimization - Math.png 553.8 KB
  1 -Session-11 Constrained Non Linear Optimization - Lagrange multiplier method.mp4 112.4 MB
  1 -Session-2 Human Learning Vs.png 637.3 KB
  1 -Session-21 Need of Optimization for Machine Learning.png 103.6 KB
  1 -Single Variable Non-Linear Optimization - Gradient Descent Algorithm.mp4 323.3 MB
  1 -Single Variable Non-Linear Optimization - Gradient Descent Algorithm.png 371.4 KB
  1 -UDEMY-OPTIMIZATION - OUTLINE.pptx 1 MB
  1 -Why we need optimization in machine learning.mp4 163.9 MB
  2 -Case Study - 1 Economic Load Dispatch In Electrical Power System.mp4 167.4 MB
  2 -Numerical- Single Variable Non-Linear Optimization - Gradient Descent Algorithm.mp4 87.1 MB
  2 -Python Code for Case Study - 1.url 102.4 B
  2 -Session 6 - Python Implementation - Linear Optimization - Case Study 1.mp4 160.2 MB
  2 -Session-12- LagrangeMultiplier-Numerica.png 791.8 KB
  2 -Session-3 Optimization and Mathematical Modelling.png 168.9 KB
  2 -Single Variable Non-Linear Optimization - Gradient Descent Algorithm-Numericals.png 311.3 KB
  2 -What is Optimization.mp4 189.5 MB
  3 -Case Study - 1 Economic Load Dispatch In Electrical Power System - Derivation.mp4 110.4 MB
  3 -Noninear_Optimization_SingleVariable.mlx 151.1 KB
  3 -Session - 7 MatLab Implementation.pdf 290.9 KB
  3 -Session 4 - Types of Optimization Problems - Chart.png 441.6 KB
  3 -Session 7 -MATLAB Implementation - Linear Optimization - Case Study 1.mp4 112.1 MB
  3 -Session-13.png 212.6 KB
  3 -Single Variable Non-Linear Optimization - Gradient Descent Algorithm-MATLAB.mp4 109.5 MB
  3 -Single Variable Non-Linear Optimization - Gradient Descent Algorithm-MATLAB.pdf 127.6 KB
  3 -Types of Optimization Problems.mp4 94.8 MB
  4 -Linear Optimization - Case Study 2.png 444 KB
  4 -Mathematical modelling of linear optimization problem - Case Study 2.mp4 98.5 MB
  4 -Python Code.url 102.4 B
  4 -Session 13 - Corrections.mp4 41.4 MB
  4 -Session 13 - Corrections.png 406.9 KB
  4 -Single Variable Non-Linear Optimization - Gradient Descent Algorithm-Python.mp4 78.2 MB
  5 -Constrained_Nonlinear_Optimization.mlx 170.7 KB
  5 -Derivation - Economic Load Dispatch.png 406.9 KB
  5 -MATLAB - Constrained Non-Linear Optimization - Lagrange Multiplier Method.mp4 136.9 MB
  5 -Multi Variable Non-Linear Optimization - Gradient Descent Algorithm.mp4 82.4 MB
  5 -Multi-Variable Non-Linear Optimization - Gradient Descent Algorithm.png 139.1 KB
  5 -Session 9 - Case Study 2 - Python Code.url 102.4 B
  5 -Session 9 - Case Study 2 - Python Implementation.mp4 101.9 MB
  6 -Case2 - MatLab Implementation.pdf 182.5 KB
  6 -Multi Variable Non-Linear Optimization - Gradient Descent Algorithm - Numerical.mp4 95.4 MB
  6 -Multi-Variable Non-Linear Optimization - Gradient Descent Algorithm - Numericals.png 207.2 KB
  6 -Python - Constrained Non-Linear Optimization - Lagrange Multiplier Method.mp4 129.2 MB
  6 -Python code.url 102.4 B
  6 -Session 10 - Case Study 2- MATLAB Implementation.mp4 95.1 MB
  7 -Multi Variable Non-Linear Optimization - Gradient Descent Algorithm-MATLAB.mp4 93.7 MB
  7 -Multi-Variable Non-Linear Optimization - Gradient Descent Algorithm - MATLAB.pdf 143.1 KB
  7 -Noninear_Optimization_Multi_Variable.mlx 149.3 KB
  8 -Multi-Variable Non-Linear Optimization - Gradient Descent Algorithm-Python.mp4 82 MB
  8 -Python Code.url 102.4 B
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 55 total files

Description


Applied Optimization: Linear, Nonlinear, & ML Focus

https://WebToolTip.com

Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 22m | Size: 2.95 GB

Model, solve, and code real-world optimization problems and explore their role in machine learning

What you'll learn
Understand core optimization concepts and mathematical modeling techniques
Apply linear and nonlinear optimization techniques using MATLAB and Python
Implement gradient descent algorithms for single-variable and multi-variable problems
Recognize the role of optimization in machine learning

Requirements
It is better if have some knowledge on Python and MATLAB. If you dont have not an issue

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