AI Term

What is Machine Learning?

A subset of AI where computer systems learn and improve from experience without being explicitly programmed, by identifying patterns in data.

Machine Learning (ML) is a subset of artificial intelligence where systems learn from data rather than following explicitly programmed rules. The system improves its performance on tasks by exposure to more examples.

How Machine Learning Works

1. **Training**: The system is exposed to large amounts of example data

2. **Pattern Recognition**: Algorithms identify patterns and relationships

3. **Model Creation**: These patterns become a model for making predictions

4. **Inference**: The model applies learned patterns to new, unseen data

Types of Machine Learning

Supervised Learning

Learning from labeled examples. The system knows the correct answers during training.

  • Example: Learning to identify spam by studying emails labeled "spam" or "not spam"

    • Unsupervised Learning

    Finding patterns in unlabeled data without knowing correct answers.

  • Example: Grouping customers by purchasing behavior without predefined categories

    • Reinforcement Learning

    Learning through trial and error with rewards for good decisions.

  • Example: AI learning to play games by being rewarded for winning

    • Applications

  • Email filtering (spam detection)
  • Product recommendations
  • Credit scoring
  • Medical diagnosis assistance
  • Speech recognition
  • Image classification

    • Relationship to AI

    All machine learning is AI, but not all AI is machine learning. Traditional AI might use fixed rules created by humans, while ML systems derive their own rules from data.

    The recent AI revolution is primarily driven by advances in machine learning, particularly deep learning.

    Examples

    Spam filtersRecommendation enginesVoice recognitionFraud detection

    Want to learn more AI terms?

    Browse All Terms

    Related Terms

    Artificial Intelligence (AI)

    Computer systems designed to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and understanding language.

    Large Language Model (LLM)

    An AI model trained on massive amounts of text data that can understand, generate, and work with human language at a sophisticated level.

    Token

    A unit of text that AI language models process—roughly equivalent to about 4 characters or 0.75 words in English. Tokens determine context limits and pricing.