Fill in the blank:
Machine Learning is a subset of ______.
Artificial Intelligence
What is supervised learning?
A type of machine learning where the model is trained on labeled data, meaning the input comes with the correct output already known.
An example is training a model to recognize cats in photos, where each photo is labeled as ‘cat’ or ‘not cat’.
What is unsupervised learning?
A type of machine learning where the model learns from unlabeled data, discovering patterns or structures without explicit instructions.
Clustering customers based on purchasing behavior is an example of unsupervised learning.
True or False:
In supervised learning, data is unlabeled.
False
Supervised learning uses labeled data, where inputs are paired with correct outputs to train the model.
What is reinforcement learning?
A type of learning where an agent learns to make decisions by taking actions in an environment to maximize cumulative reward.
Think of teaching a dog tricks by rewarding it with treats for good behavior.
Fill in the blanks:
In reinforcement learning, an agent learns through ______ and ______.
trial; error
What is symbolic AI?
An approach to AI that uses explicit, human-readable symbols and rules to represent knowledge and reasoning processes.
Early AI systems like expert systems heavily relied on symbolic AI.
How does symbolic AI differ from machine learning?
- Symbolic AI uses predefined rules and logic.
- Machine learning relies on data-driven learning to make predictions or decisions.
Fill in the blanks:
A hybrid AI system combines ______ and ______ techniques.
symbolic AI; machine learning
Hybrid systems can improve performance by integrating data-driven learning with rule-based reasoning.
Which learning approach would be suitable for grouping similar documents without prior knowledge?
unsupervised learning
Unsupervised learning is ideal for clustering tasks where labels are not available.
Which AI technique would you use to train a robot to navigate a maze?
reinforcement learning
Reinforcement learning is effective for tasks requiring trial-and-error exploration.
True or False:
Hybrid AI systems can only use machine learning and reinforcement learning.
False
Hybrid AI systems can combine multiple approaches, including machine learning, rule-based systems, and reinforcement learning—not just two methods.
What is a common application of supervised learning?
Predicting house prices based on features like location, size, and number of bedrooms.
Explain how reinforcement learning differs from supervised learning.
- Reinforcement learning learns from feedback in the form of rewards or penalties after actions.
- Supervised learning learns from labeled examples with known correct outputs.
Fill in the blank:
In symbolic AI, knowledge is represented using ______.
symbols
Which type of AI would likely be used for a chess-playing program that follows specific rules and strategies?
Symbolic AI
Chess programs can utilize predefined rules and strategies, characteristic of symbolic AI.
True or False:
Unsupervised learning requires labeled data.
False
Unsupervised learning works with unlabeled data, aiming to find hidden patterns or groupings without predefined outputs.
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Introduction to AI20
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Key Terminology & Concepts29
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Prompt Engineering Techniques29
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Types of AI & Learning Approaches17
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Machine Learning Foundations25
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Neural Networks & Deep Learning25
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Natural Language Processing (NLP)18
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Large Language Models (LLMs)20
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AI Tools in Practice51
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Use Cases & Applications20
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AI and the Future of Work10
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Data & AI Infrastructure15
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AI Regulation & Governance10
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AI Best Practices28
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Common Myths & Misconceptions10
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Career Paths in AI10
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Quick Case Studies25
