20 core machine learning models powering modern AI systems
goyalshaliniuk · x · 2026-08-28
This post outlines 20 fundamental ML models driving modern AI, categorized into four groups:
- Regression & Classification: Linear/Logistic Regression, Decision Trees/Random Forest, Gradient Boosting, SVM, Naive Bayes.
- Clustering & Similarity: KNN, K-Means/Hierarchical Clustering, PCA.
- Neural Networks: ANNs, CNNs, RNNs/LSTMs, Autoencoders, GANs.
- Advanced Gen & RL: Transformers, Diffusion Models, Reinforcement Learning.
Mastering these models provides a foundation for understanding how AI learns, reasons, and creates.
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