Isolation Forest: Anomaly Detection
Isolation Forest detects anomalies by recursively isolating data points. Complete guide with Python code and comparison with other methods.
Isolation Forest: Anomaly Detection LireLearn Python
Explore in-depth articles on programming, analyses of innovative GitHub projects, and guides on advanced Python frameworks and techniques.
Particle Swarm Optimization: Swarm Optimization
PSO is inspired by bird behavior to optimize complex functions. Complete guide with velocity equations and Python code.
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Genetic Algorithm: Complete Guide
Genetic algorithms are inspired by natural evolution to optimize solutions. Complete guide with selection, crossover, mutation, and Python code.
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PPO: Proximal Policy Optimization
PPO is the most widely used reinforcement learning algorithm in 2026. Complete guide with surrogate objective and clipping, PyTorch implementation.
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NLP Pipeline: Natural Language Processing
From tokenization to language models, this guide covers all the classic NLP steps. Traditional and modern techniques with Python code.
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A3C: Asynchronous Actor-Critic
A3C uses multiple parallel agents to learn reinforcement faster. Complete guide with actor-critic and PyTorch code.
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Policy Gradient: Direct Policy Optimization
Policy Gradient directly optimizes an agent’s policy without going through a value function. Complete guide with REINFORCE and Python code.
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Deep Q-Network (DQN): Deep Q-Learning
DQN replaces the Q-table with a neural network to handle complex state spaces. Complete guide with experience replay and target network.
Deep Q-Network (DQN): Deep Q-Learning Lire
Q-Learning: Reinforcement Learning
Q-Learning learns the value of actions in each state to maximize rewards. Complete guide with Bellman equation and Python code.
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Neural Style Transfer: Artistic Style Transfer
Neural Style Transfer fuses the content of one image with the style of another using neural networks. Complete guide with TensorFlow code.
Neural Style Transfer: Artistic Style Transfer Lire