🧠 Traditional Machine Learning (Supervised Learning) - Deepstash
🧠 Traditional Machine Learning (Supervised Learning)

🧠 Traditional Machine Learning (Supervised Learning)

  • This approach uses training code and labeled data to build a model. Depending on the task, the model can:
  • Make predictions
  • Classify inputs
  • Cluster similar data points

🐱 Before ML: Rule-Based Programming

  • In traditional programming, we had to hardcode rules to define what a cat is:
  • Type: animal
  • Legs: 4
  • Ears: 2
  • Fur: yes
  • Likes: yarn, catnip
  • Dislikes: Fred

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