1) What are the three basic types of machine learning mentioned in the video? a) a. Unsupervised learning b) b. Reinforcement learning c) c. Supervised learning d) d. Semi-supervised learning 2) Supervised learning is: a) a. When the data scientist watches the AI as it works on a computer in the same room b) b. When the data scientist creates a set of rules for the AI to follow and reviews the AI as it works to make sure those rules are followed c) c. When the data scientist knows the correct answer for classification tasks and uses them to let the AI learn how to classify new data points on its own 3) Unsupervised learning is: a) a. A set of techniques which allows the AI to find patterns in data without knowing in advance what to look for b) b. A technique that requires a specific goal or positive outcome c) c. When the AI run on a server in a different building 4) Reinforcement learning is: a) a. Often used to create a strategy to play games knowing only the goal b) b. A set of rules that are set up by researchers to reinforce their goal c) c. A technique that requires knowledge of the way humans play games 5) Which machine learning method relies on a hands-on approach from doctors and computer scientists to adjust parameters and improve accuracy? a) a. Reinforcement learning b) b. Unsupervised learning c) c. Supervised learning d) d. Semi-supervised learning 6) When do researchers use unsupervised learning in the medical data analysis process? a) a. To find general similarities and patterns b) b. To gather patient feedback c) c. To create treatment plans d) d. To adjust program parameters 7) What is the goal of supervised learning in the context of diagnosing health conditions? a) a. To build self-taught algorithms b) b. To teach machines how to operate ethically c) c. To create an algorithm for diagnosing a specific condition d) d. To mimic the relationship between neurons in the brain 8) Which model mentioned in the video uses millions of connections to tackle tasks like image recognition? a) a. Reinforcement learning b) b. Semi-supervised learning c) c. Genetic programming d) d. Artificial neural networks 9) How do individual programs in AI systems teach each other as described in the video? a) a. By directly programming each other b) b. By sending data between programs c) c. By imitating human interaction d) d. By creating competing algorithms 10) Which of the following is NOT true? a) a. Artificial Neural Networks mimic the connections between the human brain b) b. Artificial neural networks have multiple layers c) c. Artificial neural networks can only be used to recognize faces

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