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Artificial intelligence algorithms not only makes your cars safer and shopping easier but increasingly diagnose patients and help you to take the right decisions when caring the patients. The [course_title] illustrates a general overview of artificial intelligence and its applications to problems of medical diagnosis, therapy selection, and monitoring and learning from databases. You will also learn about machine learning, diagnostic reasoning, logic, logic programming, CSP and games, and language understanding.
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
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Course Credit: MIT
|Chapter 1: Introduction||00:10:00|
|Chapter 2: Search 1||00:40:00|
|Chapter 2: Search 2||00:30:00|
|Chapter 2: Search 3||00:40:00|
|Chapter 3: CSP and Games 1||00:40:00|
|Chapter 3: CSP and Games 2||00:20:00|
|Chapter 4: Learning Introduction||01:00:00|
|Chapter 5: Machine Learning I||00:40:00|
|Chapter 6: Machine Learning II||00:50:00|
|Chapter 7: Machine Learning III||00:50:00|
|Chapter 8: Machine Learning IV||01:00:00|
|Chapter 9: Logic I a||00:50:00|
|Chapter 9: Logic I b||01:00:00|
|Chapter 10: Logic II a||01:00:00|
|Chapter 10: Logic II b||01:00:00|
|Chapter 11: Logic Programming||00:40:00|
|Chapter 12: Language Understanding 1||01:00:00|
|Chapter 12: Language Understanding 2||00:30:00|
|Submit Your Assignment||00:00:00|
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