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Chapter 6 — Chapter 6 — Introduction to Artificial Intelligence (AI) and Machine Learning (ML)

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Topic 1 · pp. 84–86 · Free

AI and Machine Learning

Source: CS 10, Ch 6, pp. 84–86

📘Easy summary

Artificial Intelligence (AI) is the ability of machines to perform tasks that normally need human intelligence — understanding language, recognizing images, decision making (chatbots, Google Assistant, self-driving cars). Machine Learning (ML) is a part (subset) of AI where machines learn from data to make predictions or find patterns without being explicitly programmed for every case (YouTube video recommendations, spam filters). Difference: AI is the broad goal of smart machines; ML is one method of achieving AI by learning from data.

⭐Key points

  • ML ⊂ AI

🔬Diagram

AI vs MLAIMLBroad field: smart machinesSubset: learn from dataMay use rulesUses data and algorithmsChatbot, robotRecommendations

🌿Real-life example

JazzCash chatbot (AI in business).

💡Exam tip

  • Difference with examples.

✅Quick check

1. AI is:

2. ML recommends videos on:

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