Important Algorithms

Supervised Learning

• Decision Tree
• Naïve Bayes Classification
• Ordinary Least Quares Regression
• Logistic Regression
• Support Vector Machines
• Ensemble Methods

Unsupervised Learning

• Clustering Algorithms
  • Centroid-based
  • Connectivity-based
  • Density-based
  • Probabilistic
  • Dimensionality Reduction
  • Neural Networks / Deep Learning
• Principal Component Analysis (PCA)
• Singular Value Decomposition
• Independent Component Analysis

(https://gab41.lab41.org/the-10-algorithms-machine-learning-engineers-need-to-know-f4bb63f5b2fa#.h1knedec6)