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Machine Learning and Artificial Intelligence

Introduction to Machine Learning


Machine Learning Techniques

  • Focus on algorithmically discovering knowledge from datasets. Aids in deriving insights and patterns from vast data.

Expert Systems

  • Comprises two main components:
    1. Knowledge Base: Contains a series of if/then rules.
    2. Inference Engine: Evaluates knowledge to draw conclusions.

"Knowledge base for data, inference engine for conclusions."


Neural Networks

  • Simulates the function of the human mind.
  • Uses layered calculations to solve problems.
  • Requires extensive training on a problem to offer solutions.

Neural networks need significant training data to function effectively.