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Intelligent Systems
Optimization
First-Order Methods
Gradient Descent
Momentum
Linear Programming
Forms of Linear Programming Problems
Piecewise Linear Convex Functions
Integer Programming
General Branch-and-Bound
Graphs and Networks
Dijkstra’s Algorithm
Metaheuristics
Genetic Algorithm
Particle Swarm Optimization
Constraint Handling
Differential Evolution
Initialization
Surrogate
Surrogate-based optimization
Optimization Problems
The Newsvendor Problem
Machine Learning
Supervised Learning
Perceptron
Reinforcement Learning
Multi-armed Bandits
Markov Decision Processes
Dynamic Programming
Temporal-Difference Learning
Deep Q Networks
Explainable AI
Local Interpretable Model-agnostic Explanations (LIME)
Federated Learning
The FederatedAveraging Algorithm
jb-book
Markdown Files
Content with notebooks
Notebooks with MyST Markdown
Repository
Open issue
.md
.pdf
Explainable AI
Explainable AI
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