Lecture
Essential AI Terminology You Must Know
An AI model is a program that learns patterns and rules from data, then uses them to make predictions or decisions on new inputs.
Some models analyze text to detect emotions, while others predict trends in the stock market.
In this lesson, we will cover the key terminology you need to understand AI effectively.
Key Terminology
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Dataset
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Preprocessing
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Machine Learning / Deep Learning
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Training
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Inference
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Overfitting / Underfitting
Browse through the slides to explore the concepts essential for AI learning!
Lessons in this chapter · Intro to AI Through Hands-On Activities
- 1. Why Should We Learn AI?
- 2. What Is AI?
- 3. Essential Terminology for Learning AI
- 4. Multiple Choice Quiz
- 5. Try Real-Time Object Recognition with AI
- 6. Experience AI Facial Recognition and Augmented Reality (AR)
- 7. What Types of AI Are There?
- 8. What Is Computer Vision AI?
- 9. What Is Natural Language Processing (NLP)?
- 10. Speech Recognition Using AI
- 11. Speech Synthesis Using AI
- 12. Fill-in-the-Blank Quiz
- 13. Build a Simple Number Prediction Model
- 14. Build a Spam Email Classification Model
Quiz
0 / 1
Which of the following best defines an AI model?
A structure for storing data
A tool for visualizing data
A program that analyzes data to learn patterns and rules, then makes predictions and decisions
A method for collecting data
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