what is the difference between inductive and deductive learning?
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An inductive approach involves the learners detecting, or noticing, patterns and working out a 'rule' for themselves before they practise the language. A deductive approach (rule-driven) starts with the presentation of a rule and is followed by examples in which the rule is applied.
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Inductive reasoning is the process of reasoning that a rule or statement is true because specific cases are true. You may use inductive reasoning to draw a conclusion from a pattern. ... Deductive reasoning is the process of using logic to draw conclusions from given facts, definitions and properties.
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Deductive and Inductive Inference. Definition: Deductive Inference: A deductive Inference moves from general to specific conditions and whether if a condition is true. ... Inductive Inference: Inductive Inference is a logical system that uses evidence to support whether that conditions are true or not.
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The primary difference between the two is that learning is a process whereas knowledge is informal experience. Learning is system according to which you learn things from school or college or an institution or a book. ... You can also acquire knowledge from practical experiences in life.
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Because inductive reasoning uses specific premises to build a conclusion, the conclusion is probable but not absolutely true. Deductive reasoning can lead to an absolutely true conclusion if and only if the premises that lead to that conclusion are also true.
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The biggest difference between deductive and inductive reasoning is that deductive reasoning starts with a statement or hypothesis and then tests to see if it's true through observation, where inductive reasoning starts with observations and moves backward towards generalizations and theories.
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In classical conditioning, learning refers to involuntary responses that result from experiences that occur before a response. You learn to associate two different stimuli. No behavior is involved. ... In operant conditioning, learning refers to changes in behavior as a result of experiences that occur after a response.
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Naive bayes is a Generative model whereas Logistic Regression is a Discriminative model . Generative model is based on the joint probability, p( x, y), of the inputs x and the label y, and make their predictions by using Bayes rules to calculate p(y | x), and then picking the most likely label y.
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Inductive is a way to describe something that leads to something else, so when applied to reasoning it just means you collect information and draw conclusions from what you observe. Logical types may already be familiar with the word inductive as it relates to reasoning.
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The difference between syllogism and induction is as follows: "induction is the starting-point which knowledge even of the universal presupposes, while syllogism proceeds from the universals" (V1. 3 p. 140).
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According to Vriend (2000), the difference between social and individual learning lies in the fact that, while social learning is exposed to the spite effect inherent to the Cournot framework, the rules that evolve in the individual model of learning are not directly exposed to this effect.
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Inductive reasoning, or inductive logic, is a type of reasoning that involves drawing a general conclusion from a set of specific observations. Some people think of inductive reasoning as “bottom-up” logic, because it involves widening specific premises out into broader generalizations.
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RELATIONAL learners prefer to begin with the whole picture - seeing the relation between things by intuition, whereas analytical learners begin with the separate parts and piece them together to make a whole. Relational learners also enjoy being with their teachers and friends.
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Deductive reasoning uses given information, premises or accepted general rules to reach a proven conclusion. On the other hand, inductive logic or reasoning involves making generalizations based upon behavior observed in specific cases.
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Deductive arguments have unassailable conclusions assuming all the premises are true, but inductive arguments simply have some measure of probability that the argument is true—based on the strength of the argument and the evidence to support it.
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The difference between weak induction and strong indcution only appears in induction hypothesis. In weak induction, we only assume that particular statement holds at k-th step, while in strong induction, we assume that the particular statment holds at all the steps from the base case to k-th step. 3.
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Research involves inductive and deductive methods.” Inductive research methods are used to analyze an observed event. Deductive methods are used to verify the observed event. Inductive approaches are associated with qualitative research and deductive methods are more commonly associated with quantitative research.