What is Machine Learning?

Machine learning is a subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. 📈

machine_learning_process

Types of Machine Learning

  • Supervised Learning 📊
    Uses labeled data to train models (e.g., classification, regression).

    supervised_learning
  • Unsupervised Learning 🔍
    Finds hidden patterns in unlabeled data (e.g., clustering, dimensionality reduction).

    unsupervised_learning
  • Reinforcement Learning 🎮
    Learns by interacting with an environment through trial and error.

    reinforcement_learning

Key Concepts in Learning Process

  1. Training Data 📁
  2. Model Evaluation 📊
  3. Hyperparameter Tuning 🔧
    ml_learning_stages

Common Algorithms

  • Decision Trees 🌳
  • Neural Networks 🧠
  • Support Vector Machines (SVM) 📌
    ml_algorithms

Applications of Machine Learning

  • Healthcare 💊
  • Finance 💰
  • Recommendation Systems 🎯
    ml_applications

For deeper insights, explore our Machine Learning Overview guide. 🚀