AI Algorithms

A set of mathematical instructions that allows a mechanical computer to execute a step by step procedure is called an algorithm. Artificial Intelligence algorithms have the ability to learn from the data and develop new algorithms by learning new heuristics or strategies. These algorithms take both input and output to produce an output when new inputs are given, by which we make our machines to learn the data. Data mining requires this machine learning to recognize the patterns in the data and to get required result. Artificial Intelligence algorithms enable a data scientist to solve different problems such as Classification, Regression and Clustering, where data is the key driver to pick right algorithm to predict outputs from inputs. These are categorized into Supervised learning, Unsupervised learning, Reinforcement learning and Ensemble learning

  • Regression algorithms
  • Clustering algorithms
  • Ensemble learning algorithms
  • Decision trees
  • Naive bayes classification
  • Component analysis
  • Singular value decomposition

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