1. What does AI stand for?
2. Which of the following is not a subfield of AI?
3. What is the primary goal of Machine Learning?
4. Which programming language is commonly used in Machine Learning?
5. What does the acronym "ML" stand for in the context of Machine Learning?
6. Which type of Machine Learning algorithm uses labeled data for training?
7. What is the term for a prediction task with a discrete set of possible outputs?
8. Which algorithm is often used for clustering in Machine Learning?
9. What is the purpose of an activation function in a neural network?
10. Which type of neural network is typically used for image recognition?
11. In Reinforcement Learning, what is the term for the reward signal provided to an agent?
12. Which algorithm aims to find the shortest path in a graph or network?
13. What is the term for training a Machine Learning model on a specific dataset and using the same model for predictions?
14. Which technique involves reducing the dimensionality of data while preserving as much variance as possible?
15. What is the primary challenge of Natural Language Processing (NLP)?
16. Which type of Machine Learning algorithm is suitable for anomaly detection?
17. What is a neural network layer that connects every neuron from one layer to every neuron in the next layer called?
18. What does "Bias" refer to in a neural network?
19. In which step of the Machine Learning pipeline is data preprocessing typically performed?
20. What is the term for a Machine Learning model's ability to generalize to new, unseen data?
21. Which evaluation metric is commonly used for classification tasks to measure a model's accuracy?
22. Which algorithm is often used for recommendation systems, such as movie recommendations?
23. Which type of Machine Learning task involves predicting a continuous value?
24. What is the purpose of dropout in neural networks?
25. What is the process of dividing a dataset into training and testing sets called?
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