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Q1. The prediction output of your AI Model depends on the problem that you would like to solve and the solution proposal defined in your AI project plan. For example, an AI Model is trained to predict outputs of “good” and “bad” tomatoes.
Q2. Please arrange accordingly from top to bottom the simplified process of implementing an AI project. (Drag the answers to move them around)
Q3. Which of the following statement is not true?
Q4. Let’s say that you would like to build an AI Model to predict the price of houses. What are the input data or specific features that you should collect? (Your answers can be more than one)
Q5. Which of the following statement is not true?
Q6. AI project problem statement: I would like to predict Output Y based on the Input X of the object because I think Output Y is ______to the Input X of the Object or matter.
Q7. Please arrange accordingly the correct sequence of the AI Process Framework – (SLP)2. (Drag your answers to move them around)
Q8. L stands for Labeling of Data and Data Pre-Processing.
Select all the most common processes for data labeling & pre-processing. (Your answers can be more than one)