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1
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bias
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data science
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Focus in data science culture is on identifying and reducing algorithmic bias in machine learning models.
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1
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2
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data collection
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data science
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Data science culture aggressively pursues diverse data sources for comprehensive analysis in data collection.
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1
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3
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extension of k normal
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data science
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The concept of extension of k normal is commonly used in statistical analysis and machine learning for modeling data with multiple groups or levels in data science.
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1
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4
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interpretation of numbers
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data science
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The interpretation of numbers in data science relies on statistical inference and significance testing for data-driven decisions.
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1
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5
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regression
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data science
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Regression is a key statistical technique in data science for modeling the relationship between dependent and independent variables.
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1
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