Week 10 · 45-60 min

Review & Where AI Is Headed

Recap: AI vs ML, training data, classification, accuracy

This slide covers "Recap: AI vs ML, training data, classification, accuracy" as part of Review & Where AI Is Headed. Read slowly and try the example in your own words. Recap: AI vs ML, training data, classification, accuracy is an important step in AI & Machine Learning Basics. We use plain language and short steps so you can learn even on a slow or shared computer. Think of one real example from your school, work, or community.

Key point: Recap: AI vs ML, training data, classification, accuracy. Review this slide once more before moving on.

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Practice

  1. Write 2-3 sentences about what you learned this week.

Key Terms

Recap: AI vs ML, training data, classification, accuracy
Recap: AI vs ML, training data, classification, accuracy
Recap of the full pipeline from Week 5
Recap of the full pipeline from Week 5
Ethics recap: fairness, transparency, accountability
Ethics recap: fairness, transparency, accountability

Week Summary

  • Recap: AI vs ML, training data, classification, accuracy
  • Recap of the full pipeline from Week 5
  • Ethics recap: fairness, transparency, accountability
  • Realistic near-future trends

Coming Next Week: Next: Project Week 1: Build Your Classifier

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