1) The ability of a computer to perform tasks that require human intelligence a) Artificial intelligence b) Machine learning c) Dataset 2) The study of algorithms that enable the machine to learn from data and to make decisions without the help of humansThe study of algorithms that enable the a) Artificial intelligence b) Machine learning c) Dataset 3) is a collection of related sets of information that can be stored in a table. a) Artificial intelligence b) Machine learning c) Dataset 4) is learning from examples in a training dataset. a) Supervised learning b) unsupervised learning c) Reinforcement learning 5) the machine will be provided with the features only. It will then try to group objects with similar features. a) Supervised learning b) unsupervised learning c) Reinforcement learning 6) is a type of learning that uses the idea of rewards and punishments to find the best solution. a) Supervised learning b) unsupervised learning c) Reinforcement learning 7) problem that requires the machine to predict the label or class a) Classification b) Regression c) Clustering 8) problem that requires a machine to predict a real value a) Classification b) Regression c) Clustering 9) problem that requires machine to group similar objects a) Classification b) Regression c) Clustering 10) The AI process has …………….. stage a) 1 b) 3 c) 2 d) 4 11) Data is collected using ………………. a) computers b) sensors c) Data d) cables 12) Sensors are used in AI applications to ………………………….…. a) increase speed b) save power c) understand the environment d) save time

T2_Artificial intelligence

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