COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Algorithm + model = data
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Algorithm = Model + data
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Model = Algorithm(data)
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Data = Algorithm(model)
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Detailed explanation-1: -Specifically, an algorithm is run on data to create a model. We also understand that a model is comprised of both data and a procedure for how to use the data to make a prediction on new data. You can think of the procedure as a prediction algorithm if you like.
Detailed explanation-2: -Algorithms are methods or procedures taken in other to get a task done or solve a problem, while Models are well-defined computations formed as a result of an algorithm that takes some value, or set of values, as input and produces some value, or set of values as output.
Detailed explanation-3: -In simple words, an algorithm is a set of rules to follow to solve a problem. It will have a set of rules that need to be followed in the right order in order to solve the problem. A model is what you build by using the algorithm. For example, let’s say you have loan data for over 5, 000 loans issued by a bank.
Detailed explanation-4: -Topic modeling algorithms are statistical methods that analyze the words in a set of documents to discover themes, relationships between themes, and how the themes have evolved over time.
Detailed explanation-5: -To summarize: algorithms are automated instructions and can be simple or complex, depending on how many layers deep the initial algorithm goes. Machine learning and artificial intelligence are both sets of algorithms, but differ depending on whether the data they receive is structured or unstructured.