List of 100+ AI Algorithms

Getting lost in AI career? The core is right here.

Machine Learning Algorithms

• From foundational algorithms like Linear and Logistic Regression to advanced techniques such as Support Vector Machines and Ensemble Methods, this section covers the building blocks of predictive models.

Natural Language Processing (NLP)

• Explore a variety of algorithms that enable machines to understand and manipulate human language, including Term Frequency-Inverse Document Frequency (TF-IDF) and advanced models like BERT and GPT.

Computer Vision Algorithms

• This section demystifies the algorithms behind image recognition and processing, such as Convolutional Neural Networks (CNNs) and You Only Look Once (YOLO).

Reinforcement Learning Algorithms

• Delve into the dynamic algorithms that teach machines to make decisions, like Q-Learning and Monte Carlo Tree Search (MCTS).

Deep Learning Algorithms

• Discover the cutting-edge of AI with algorithms like Generative Adversarial Networks (GANs) and Deep Belief Networks.

Optimization Algorithms

• Optimization is key in AI, and this cheat sheet includes everything from Gradient Descent to more niche algorithms like Simulated Annealing and Ant Colony Optimization.

Ensemble Algorithms

• Unpack the power of ensemble methods that combine multiple models to improve predictions, such as Random Forest and XGBoost.

Recommendation System

• Understand the mechanics behind personalized suggestions with algorithms used in systems like Collaborative Filtering and Content-Based Filtering.

Anomaly Detection Algorithms

• Learn about the techniques to identify outliers and unusual patterns, essential for fraud detection and network security.

Graph Algorithms in AI

• Graph algorithms like PageRank and Graph Convolutional Networks play a critical role in structuring and interpreting complex networks.

Author

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