1. Word cloud
120 seconds
Name a type of machine learning?
2. Slide
60 seconds
Machine Learning is a type of Artificial Intelligence that uses algorithms to interpret data and make decisions. Machine Learning models learn over time by analyzing data and finding patterns. Common applications of Machine Learning include speech recognition, computer vision, and robotics.
Machine Learning: What It Is and How It Works
3. Slide
60 seconds
Supervised Learning: Supervised learning is a type of machine learning algorithm that uses a known dataset (labeled data) to make predictions. It relies on a pre-defined set of features and labels to classify new data points. Unsupervised Learning: Unsupervised Learning is a type of machine learning algorithm that works without a pre-defined set of features and labels. It works by trying to find patterns and structures in a dataset without any prior knowledge or labels. Reinforcement Learning: Reinforcement Learning is a type of machine learning algorithm that uses trail and error to learn how to behave in a given environment. It is used to solve complex problems where the goal is not always clearly defined.
Concepts:
4. Slide
60 seconds
Machine Learning can be used to find patterns in data that are too complex for humans to recognize. Machine Learning can be used to guess your next move in a game based on past moves. Machine Learning can be used to detect fraudulent financial transactions before humans can spot them.
Did you know?
5. Open question
300 seconds
What is one example of a supervised learning algorithm?
6. Open question
300 seconds
What is the difference between unsupervised and reinforcement learning?
7. Open question
300 seconds
How do you think supervised, unsupervised and reinforcement learning can be used in everyday life?
8. Open question
300 seconds
What do you think are the benefits and limitations of each type of machine learning?
9. Drawings
360 seconds
Question: What are the 3 main types of machine learning? Clues: • Machine learning is a type of artificial intelligence that allows computers to 'learn' without being programmed. • The 3 types are supervised, unsupervised and reinforcement. • Supervised learning involves using labeled data to train models, unsupervised learning uses unlabeled data to group data points, and reinforcement learning is used to develop AI-based systems. In pairs: Select and solve one of the tasks: A. Work in pairs to create a drawing that explains the 3 different types of machine learning. B. Choose one type of machine learning and explain the benefits of using it in real-world scenarios.
10. Poll
60 seconds
Which type of machine learning algorithm is used for classification problems?
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
11. Poll
60 seconds
Which type of machine learning algorithm is used for finding patterns in data?
- Semi-Supervised Learning
- Unsupervised Learning
- Supervised Learning
12. Poll
60 seconds
Which type of machine learning algorithm uses labeled data to make predictions on new, unseen data?
- Supervised Learning
- Reinforcement Learning
- Unsupervised Learning
13. Poll
60 seconds
Which type of machine learning algorithm learns from feedback and rewards to maximize performance?
- Unsupervised Leaning
- Supervised Learning
- Reinforcement Learning
14. Poll
60 seconds
Which type of machine learning technique does not require labeled data for training?
- Reinforcement Leaning
- Supervied Leaning
- Unsupervised Leaning
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