Creating wiki for any desired topic to share to the wide spread network.

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this module is Artificial intelligence 700. please answer all in detail and correctly. QUESTION 1 1.1 Given a medical diagnosis expert system, the system uses the following rules for diagnosing whether a patient has the flu: • Rule 1: If the patient has a fever and cough, then the patient may have the flu. • Rule 2: If the patient has a sore throat, then the patient may have a cold. • Rule 3: If the patient has a fever, sore throat, and cough, then the patient has the flu. Using the rules above, explain how the expert system would infer a diagnosis when the patient presents with a fever, cough, and sore throat. • How does the inference engine process these rules? • What challenges might arise in implementing this expert system? 1.2 Consider a robot in an autonomous navigation task. The robot needs to navigate from one point to another while avoiding obstacles in its environment. • Describe how the robot would behave as a rational agent in this scenario, outlining the steps…

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Chapter 3, Problem PVAYKBP

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Creating wiki for any desired topic to share to the wide spread network.

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this module is Artificial intelligence 700. please answer all in detail and correctly. QUESTION 1 1.1 Given a medical diagnosis expert system, the system uses the following rules for diagnosing whether a patient has the flu: • Rule 1: If the patient has a fever and cough, then the patient may have the flu. • Rule 2: If the patient has a sore throat, then the patient may have a cold. • Rule 3: If the patient has a fever, sore throat, and cough, then the patient has the flu. Using the rules above, explain how the expert system would infer a diagnosis when the patient presents with a fever, cough, and sore throat. • How does the inference engine process these rules? • What challenges might arise in implementing this expert system? 1.2 Consider a robot in an autonomous navigation task. The robot needs to navigate from one point to another while avoiding obstacles in its environment. • Describe how the robot would behave as a rational agent in this scenario, outlining the steps…

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this module is machine learning 700 , please answer everything correctly thank you Data-Driven Decision Making in a Tech-Driven World In an era dominated by data, businesses across industries are leveraging machine learning to drive strategic decisions. Imagine a mid-sized real estate firm, UrbanNest Realty, struggling to accurately price properties. Previously, they relied on traditional appraisal methods, which often led to over- or under-pricing homes, affecting sales and revenue. With fierce competition in the housing market, UrbanNest Realty decided to embrace machine learning to enhance their pricing strategy. Their data science team collected extensive real estate data, including factors like location, square footage, number of bedrooms, and nearby amenities. By applying Linear Regression and Decision Tree Regressor models, they were able to predict home prices with greater accuracy. The insights helped them optimize property listings, leading to faster sales and increased…