Machine Learning Algorithm Categories
Machine learning algorithms can be grouped into supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Each category solves a different type of modeling problem.
Common Machine Learning Algorithms
Common algorithms include Linear Regression, Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, K-Nearest Neighbors, Naive Bayes, K-Means, and Gradient Boosting methods.
Deep Learning Algorithms
Deep learning uses neural networks with multiple layers. Common architectures include feedforward neural networks, convolutional neural networks for images, recurrent networks for sequences, LSTM/GRU for time-series, and Transformers for language tasks.
Choosing the Right Algorithm
The best algorithm depends on the problem type, dataset size, feature quality, interpretability needs, computational resources, and evaluation metrics.