AI-ML-DL-algorithmic-Pathway

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AI-ML-DL-algorithmic-Pathway

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The "AI, ML, DL Algorithmic Pathway" folder contains a structured collection of algorithms across Artificial Intelligence, Machine Learning, and Deep Learning. It covers foundational and advanced algorithms, providing references to key textbooks and chapters for in-depth understanding.

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# AI-ML-DL-algorithmic-Pathway

| Step | Category | Subcategory | Algorithm Name | Books Reference | Chapters |
|---|---|---|---|---|---|
| 1 | AI Algorithms | Search Algorithms | Breadth-First Search (BFS) | Artificial Intelligence: A Modern Approach | Chapter 3, Chapter 4 |
| 1 | AI Algorithms | Search Algorithms | Depth-First Search (DFS) | Artificial Intelligence: A Modern Approach | Chapter 3, Chapter 4 |
| 1 | AI Algorithms | Search Algorithms | A* Search | Artificial Intelligence: A Modern Approach | Chapter 3, Chapter 4 |
| 1 | AI Algorithms | Search Algorithms | Dijkstra’s Algorithm | Artificial Intelligence: A Modern Approach | Chapter 3, Chapter 4 |
| 1 | AI Algorithms | Optimization Algorithms | Simulated Annealing | Artificial Intelligence: A Modern Approach | Chapter 4.1, Chapter 4.2 |
| 1 | AI Algorithms | Optimization Algorithms | Genetic Algorithms | Artificial Intelligence: A Modern Approach | Chapter 4.1, Chapter 4.2 |
| 1 | AI Algorithms | Optimization Algorithms | Particle Swarm Optimization | Artificial Intelligence: A Modern Approach | Chapter 4.1, Chapter 4.2 |
| 1 | AI Algorithms | Reinforcement Learning | Q-Learning | Artificial Intelligence: A Modern Approach | Chapter 22 |
| 1 | AI Algorithms | Reinforcement Learning | Deep Q-Networks (DQN) | Artificial Intelligence: A Modern Approach | Chapter 22 |
| 1 | AI Algorithms | Reinforcement Learning | Proximal Policy Optimization (PPO) | Artificial Intelligence: A Modern Approach | Chapter 22 |
| 1 | AI Algorithms | Reinforcement Learning | Soft Actor-Critic (SAC) | Artificial Intelligence: A Modern Approach | Chapter 22 |
| 1 | AI Algorithms | Reinforcement Learning | Deep Reinforcement Learning | *Deep Learning* by Ian Goodfellow | Chapter 16 |
| 2 | Machine Learning | Supervised Learning | Linear Regression | Python Machine Learning | Chapter 3, Chapter 6 |
| 2 | Machine Learning | Supervised Learning | Logistic Regression | Python Machine Learning | Chapter 3, Chapter 6 |
| 2 | Machine Learning | Supervised Learning | Decision Trees | Python Machine Learning | Chapter 4, Chapter 7 |
| 2 | Machine Learning | Supervised Learning | Random Forests | Python Machine Learning | Chapter 4, Chapter 7 |
| 2 | Machine Learning | Supervised Learning | Support Vector Machines (SVM) | Python Machine Learning | Chapter 3.4 |
| 2 | Machine Learning | Supervised Learning | k-Nearest Neighbors (k-NN) | Python Machine Learning | Chapter 3.1 |
| 2 | Machine Learning | Unsupervised Learning | K-Means Clustering | Python Machine Learning | Chapter 5 |
| 2 | Machine Learning | Unsupervised Learning | Hierarchical Clustering | Python Machine Learning | Chapter 5 |
| 2 | Machine Learning | Unsupervised Learning | Principal Component Analysis (PCA) | Python Machine Learning | Chapter 5.5 |
| 2 | Machine Learning | Unsupervised Learning | Autoencoders | *Deep Learning* by Ian Goodfellow | Chapter 14 |
| 3 | Deep Learning | Feedforward Neural Networks | Feedforward Neural Networks (FNN) | *Deep Learning* by Ian Goodfellow | Chapter 6 |
| 3 | Deep Learning | Convolutional Neural Networks | Convolutional Neural Networks (CNN) | *Deep Learning* by Ian Goodfellow | Chapter 9 |
| 3 | Deep Learning | Recurrent Neural Networks | Recurrent Neural Networks (RNN) | *Deep Learning* by Ian Goodfellow | Chapter 10, Chapter 11 |
| 3 | Deep Learning | Recurrent Neural Networks | Long Short-Term Memory (LSTM) | *Deep Learning* by Ian Goodfellow | Chapter 10, Chapter 11 |
| 3 | Deep Learning | Recurrent Neural Networks | Gated Recurrent Unit (GRU) | *Deep Learning* by Ian Goodfellow | Chapter 10, Chapter 11 |
| 3 | Deep Learning | Transformer Networks | Transformer Networks | *Deep Learning* by Ian Goodfellow | Chapter 12 |
| 3 | Deep Learning | Generative Models | Generative Adversarial Networks (GANs) | *Deep Learning* by Ian Goodfellow | Chapter 20 |
| 3 | Deep Learning | Generative Models | Variational Autoencoders (VAEs) | *Deep Learning* by Ian Goodfellow | Chapter 20 |
| 4 | Advanced AI Models | Large Language Models | Generative Pre-trained Transformer (GPT) | *Deep Learning* by Ian Goodfellow | Chapter 12 |
| 4 | Advanced AI Models | Large Language Models | Llama | *Deep Learning* by Ian Goodfellow | Chapter 12 |
| 4 | Advanced AI Models | Large Language Models | Pathways Language Model (PaLM) | *Deep Learning* by Ian Goodfellow | Chapter 12 |

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