COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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extract patterns from data
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allowing computers to identify related data
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forecast future outcomes
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make predictions or identify important relationships
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Detailed explanation-1: -Predictive modelling largely overlaps with the field of machine learning. There are two types of predictive models. They are Classification models, that predict class membership, and Regression models that predict a number. These models are then made up of algorithms.
Detailed explanation-2: -Machine learning model predictions allow businesses to make highly accurate guesses as to the likely outcomes of a question based on historical data, which can be about all kinds of things – customer churn likelihood, possible fraudulent activity, and more.
Detailed explanation-3: -The three machine learning types are supervised, unsupervised, and reinforcement learning.
Detailed explanation-4: -Supervised learning algorithms model the relationship between features (independent variables) and a label (target) given a set of observations. Then the model is used to predict the label of new observations using the features.