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Mukul Goenka

Mukul Goenka

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Bhavesh Badani

Bhavesh Badani

18-Apr-2024

Let’s break down the main types of machine learning algorithms in simple terms:

Supervised Learning:

  • Think of it like a teacher guiding a student.
  • Goal: Learn from labeled examples (like showing pictures of cats and dogs) to make predictions or classify new data.
  • Examples: Predicting house prices, identifying spam emails.

Unsupervised Learning:

  • Imagine sorting a mixed-up puzzle without knowing the picture.
  • Goal: Find patterns in data without labels (like grouping similar images).
  • Examples: Clustering customer segments, topic modeling.

Reinforcement Learning:

  • Picture a robot learning by trial and error.
  • Goal: Maximize rewards based on actions taken (like playing a game).
  • Examples: Self-driving cars, game-playing AI.

Remember, these algorithms help computers to learn and make smart decisions! 

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