Question: a) Which algorithm does Facebook use for face verification and how does it work?(2 Marks) b) You've won a 2-million-dollar worth lottery We all

a) Which algorithm does Facebook use for face verification and how does

a) Which algorithm does Facebook use for face verification and how does it work?(2 Marks) b) "You've won a 2-million-dollar worth lottery" We all get such spam messages. How can Al be used to detect and filter out such spam messages? (3 Marks) c) Highlight the advantages of using humans over modern computers to accomplish a task (2 Marks) d) Explain the difference between learning by induction and learning by examples. (2 Marks) (2 Marks) e) Discuss the potential uses of Al in social media applications f) Suggest variousapproaches to speed up the processing of image transformations. (2 Marks) (2 Marks) g) Discuss the applications of Natural Language Processing h) Describe how the artificial neural networks (ANN) and genetic algorithms differ with respect (2 Marks) to learning for problem-solving i) Suppose we flip a fair coin 3 times. What is the probability that all three land on heads? (3 Mark) j) It is an accepted scientific base that physical characteristics of life are genetically transferred. Do you believe that information and knowledge are also geneticallytransferred?(3 Marks) k) Differentiate between Natural(Human) Intelligence & Artificial Intelligence. (2 Marks) QUESTION TWO a) Explain circumstances under which iterative deepening will perform much better than depthfirst search? (7 Marks) b) Describe the differences and similarities between problem solving and planning (8 Marks) QUESTION THREE a) Discuss various knowledge representation characteristics that help users know the object or the concerned concept. (8 Marks) b) Consider a task requiring knowledge like baking a cake. Suggest the knowledge requirements to complete this task. (7 Marks) QUESTION FOUR Analyze and propose the type of structures you consider are appropriate in the following learning processes: a) Supervised learning b) Unsupervised learning (15 Marks)

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