Meta-learning is a subset of artificial intelligence that permits computers to learn either inductively or deductively. Inductive machine learning is the process of reasoning and making generalizations or extracting patterns and rules from huge datasets.
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Q7: The term knowledge deployment refers to taking
Q8: Health care does not generate big data.
Q9: Bagging is a term for the use
Q10: The term boosting refers to increasing the
Q11: Exploratory data analysis is an approach or
Q13: Synthesizing predicted classifications to generate a final
Q14: Neural networks represent nonlinear predictive models.
Q15: Algorithms are typically computer-based recipes or methods
Q16: Brushing is a technique in which the
Q17: The acronym SEMMA-sample, explore, modify, model, assess-refers
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