What are the 10 most important machine learning algorithms to date?

Data Science, AI and ML
#1
  1. Linear Regression
  2. Logistic Regression
  3. Decision Tree
  4. SVM (Support Vector Machine)
  5. Naive Bayes
  6. KNN (K- Nearest Neighbors)
  7. K-Means
  8. Random Forest
  9. Dimensionality Reduction Algorithms
  10. Gradient Boosting & AdaBoost

There are 5 key families of machine learning algorithms:

  • Information Theoretic/Computational Learning Theory/Statistics based
  • Probabilistic graphical models
  • Kernel Methods
  • Deep Learning/Neural Networks/Function approximation
  • Distance based approaches