An AI using machine learning. . ., can reject its own programming, can destroy its own programming, can update its own programming, In supervised machine learning, . . ., the programmer labels data so the AI knows what to look for, the AI identifies any patterns it detects in the unlabelled data, the AI can’t change its programming unless the programmer allows it to, The type of machine learning that works almost like a brain is called . . ., an artificial neuron, a neural network, an unsupervised detector, What is machine learning primarily used for in artificial intelligence?, To understand information and recognize patterns, To play games, To surf the internet, How does a program using machine learning improve itself?, By asking users for updates, By updating its own programming based on data, By rewriting code manually, In supervised learning, what role does the programmer play?, The programmer writes new code for each new pattern, The programmer labels the data so the AI knows what to look for, The programmer plays chess with the AI, What characterizes a neural network in machine learning?, It uses a single layer of processing, It operates only on numeric data, It is designed like a human brain, with interconnected artificial neurons

Machine Learning. Comprehension questions

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