Which of the following is an attribute of Supervised Learning?1 pointRelies on providing the machine learning algorithm with a set of rules and constraints and letting it learn how to achieve its goalsRelies on providing the machine learning algorithm human-labeled data - the more samples you provide, the more precise the algorithm becomes in classifying new dataTries its best to maximize its rewards by trying different combinations of allowed actions within the provided constraintsRelies on providing the machine learning algorithm unlabeled data and letting the machine infer qualities
Question
Which of the following is an attribute of Supervised Learning?1 pointRelies on providing the machine learning algorithm with a set of rules and constraints and letting it learn how to achieve its goalsRelies on providing the machine learning algorithm human-labeled data - the more samples you provide, the more precise the algorithm becomes in classifying new dataTries its best to maximize its rewards by trying different combinations of allowed actions within the provided constraintsRelies on providing the machine learning algorithm unlabeled data and letting the machine infer qualities
Solution
The attribute that corresponds to Supervised Learning is: "Relies on providing the machine learning algorithm human-labeled data - the more samples you provide, the more precise the algorithm becomes in classifying new data".
In Supervised Learning, the algorithm learns from labeled training data, and makes predictions based on that data. The 'supervisor' in this case is the set of examples that the algorithm learns from. Therefore, the more examples (or data) you provide to the algorithm, the better it can learn and thus, the more precise it becomes in classifying new data.
Similar Questions
Which of the following is NOT an attribute of Machine Learning? 1 pointMachine Learning defines behavioral rules by comparing large data sets to find common patternsMachine Learning models can be continuously trainedTakes data and answers as input and uses these inputs to create a set of rules that determine what the Machine Learning model will be Takes data and rules as input and uses these inputs to develop an algorithm that will give us an answer
What is a supervised learning algorithm?Select one:a.An algorithm that can only perform classification tasksb.An algorithm that can only perform regression tasksc.An algorithm that can learn from unlabeled datad.An algorithm that can learn from labeled data
Which of the following best describes supervised learning?Answer areaThe model learns from data without any labeled responsesThe model is trained on labeled dataThe model learns by optimizing a fitness functionThe model operates on symbolic data rather than numerical data
What is supervised learning?Review LaterLearning with labeled data, where the target variable is knownLearning with unlabeled data, where the target variable is unknownLearning with feedback, where the machine learns from its mistakesLearning with a teacher, where the machine learns by example
Which of the following describes Supervised Learning in Artificial Intelligence (AI)?A computer software that monitors how students learn Teaching or training a machine using data which is labelledSoftware agents trying to explore the environment A type of machine learning that looks for patterns in a data set with no pre-existing labels
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