Concept explainers
a.
Learning:
Learning is the characteristic feature of human being to acquire knowledge about something. Computer based agents are taught by installing a new program while intelligent agents can learn on their own. On the basis of the level of human intervention required, machine learning is classified. Learning by imitation is the first level of learning in which the task is directly demonstrated by the person and then the steps are recorded by the computer. Learning by supervised training is the next level of learning in which the correct example is selected by the person from a series of examples and then the
b.
Learning:
Learning is the characteristic feature of human being to acquire knowledge about something. Computer based agents are taught by installing a new program while intelligent agents can learn on their own. On the basis of level of human intervention required, machine learning is classified. Learning by imitation is the first level of learning in which the task is directly demonstrated by the person and then the steps are recorded by the computer. Learning by supervised training is the next level of learning in which the correct example is selected by the person from a series of examples and then the algorithm is developed for that example by an agent.
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Computer Science: An Overview (13th Edition) (What's New in Computer Science)
- Use an example to demonstrate the difference between supervised and unsupervised learning.arrow_forwardPlease answer the question in short How does the test loss change as learning progresses ?arrow_forwardInvestigate the ways in which learning in a supervised environment is distinct from learning in a setting that lacks structure?arrow_forward
- Define and explain (i) Supervised learning (ii) Unsupervised learning (iii) Reinforcement learning. (iv) Define expert systems. (v) Explain the architecture of expert systems in details with a neat Diagram with an example.arrow_forwardGive us a way to figure out how many of a dataset's most important features to prioritize when using unsupervised learning.arrow_forwardIdentify the form of hypothesis in the following statement? The proposed system decreases the learning outcome (for the learners who need help by further reading of related recommended content or by being helped by recommended peers Answer:arrow_forward
- Define the phrases "supervised learning," "unsupervised learning," and "reinforcement learning" in as few words as possible.arrow_forwardInvestigate the differences between learning in a supervised environment and learning in an uncontrolled one.arrow_forwardImagine email in your own words. If I send a message through email, how does it go from my computer to theirs? Make a tally of everything you've unearthed. Which ways do they vary, and which reasons led to the formation of those differences? Pretend that there is a wide range in the complexity of the models (or abstraction).arrow_forward
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