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1. Machine Learning:

1. Supervised Learning:

   • Regression
   • Classification

2. Unsupervised Learning:

   • Clustering
   • Dimensionality Reduction
   • Association Rule Learning

3. Semi-supervised Learning

4. Reinforcement Learning

5. Deep Learning:

   • Convolutional Neural Networks (CNNs)
   • Recurrent Neural Networks (RNNs)
   • Generative Adversarial Networks (GANs)
   • Transformer Networks

6. Transfer Learning

7. Ensemble Learning:

   • Bagging (Bootstrap Aggregating)
   • Boosting

8. Self-supervised Learning

9. Active Learning

10. Instance-based Learning:

    • k-Nearest Neighbors (k-NN)

11. Decision Tree Learning

12. Bayesian Methods

13. Evolutionary Algorithms:

    • Genetic Algorithms
    • Genetic Programming
    • Evolutionary Strategies

14. Fuzzy Logic

15. Neuroevolution