1) The ability of a computer to perform tasks that require human intelligence a) Artificial intelligence b) Machine learning c) Dataset d) Computer vision e) Natural language processing f) Features 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 d) Computer vision e) Natural language processing f) Features 3) The ability of a computer to understand and process images a) Artificial intelligence b) Machine learning c) Dataset d) Computer vision e) Natural language processing f) Features 4) The ability of a computer to interact and understand human language a) Artificial intelligence b) Machine learning c) Dataset d) Computer vision e) Natural language processing f) Features 5) is a collection of related sets of information that can be stored in a table. a) Artificial intelligence b) Machine learning c) Dataset d) Computer vision e) Natural language processing f) Features 6) are the unique characteristics of something a) Artificial intelligence b) Machine learning c) Dataset d) Computer vision e) Natural language processing f) Features 7) A machine that is specilased in one task. a) Narrow AI b) General AI c) Super AI d) Artificial intelligence e) Machine learning f) Features 8) Intelligence machine that can learn any task just like humans a) Narrow AI b) General AI c) Super AI d) Artificial intelligence e) Machine learning f) Features 9) Theoretical type of AI where the machine outperform human intelligence in every task. a) Narrow AI b) General AI c) Super AI d) Artificial intelligence e) Machine learning f) Features 10) is learning from examples in a training dataset. a) Supervised learning b) unsupervised learning c) Reinforcement learning d) Classification e) Regression f) ClusteringReinforcement learning 11) 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 d) Classification e) Regression f) Clustering 12) 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 d) Classification e) Regression f) Clustering 13) problem that requires the machine to predict the label or class a) Supervised learning b) unsupervised learning c) Reinforcement learning d) Classification e) Regression f) Clustering 14) problem that requires a machine to predict a real value a) Supervised learning b) unsupervised learning c) Reinforcement learning d) Classification e) Regression f) Clustering 15) problem that requires machine to group similar objects a) Supervised learning b) unsupervised learning c) Reinforcement learning d) Classification e) Regression f) Clustering 16) select learning and problem type: _ recommend video on YouTube. a) Supervised learning b) unsupervised learning c) Reinforcement learning d) Classification problem e) Regression problem f) Clustering problem 17) select learning and problem type: _ Yossuf wants to create a program to predict the score of a basketball game. a) Supervised learning b) unsupervised learning c) Reinforcement learning d) Classification problem e) Regression problem f) Clustering problem 18) select learning and problem type : _ Identify a Speaker identification by the his voice . a) Supervised learning b) unsupervised learning c) Reinforcement learning d) Classification problem e) Regression problem f) Clustering problem 19) select learning and problem type: _ houses price prediction application. a) Supervised learning b) unsupervised learning c) Reinforcement learning d) Classification problem e) Regression problem f) Clustering problem 20) select learning and problem type: _ Duaa wants to identify objects using a camera in her self-driving car project. a) Supervised learning b) unsupervised learning c) Reinforcement learning d) Classification problem e) Regression problem f) Clustering problem 21) select learning and problem type: _ Mariam wants to group the items sold the most in different seasons. a) Supervised learning b) unsupervised learning c) Reinforcement learning d) Classification problem e) Regression problem f) Clustering problem 22) The AI process has …………….. stage a) 1 b) 3 c) 2 d) 4 23) Data is collected using ………………. a) computers b) sensors c) Data d) cables 24) Sensors are used in AI applications to ………………………….…. a) increase speed b) save power c) understand the environment d) save time 25) A machine learning system can only process data that is ... a) Arabic b) english c) written as characters d) changed in to binary form

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