• 2022-06-06 问题

    Which choice is NOT the primarily three sources of errors in any machine learning model?() A: Irreducible errors B: Bias C: Underfitting D: Variance

    Which choice is NOT the primarily three sources of errors in any machine learning model?() A: Irreducible errors B: Bias C: Underfitting D: Variance

  • 2022-06-07 问题

    Let p(x)= x3+(5m+1)x+5n+1, where m,n are integers. Which of the following statements is not true?( ) A: Q[x]/ is field. B: p(x) is irreducible over Q[x] C: x+ has multiplicative inverse in Q[x]/. D: Q[x]/ is an integer domain but not a field

    Let p(x)= x3+(5m+1)x+5n+1, where m,n are integers. Which of the following statements is not true?( ) A: Q[x]/ is field. B: p(x) is irreducible over Q[x] C: x+ has multiplicative inverse in Q[x]/. D: Q[x]/ is an integer domain but not a field

  • 2022-06-19 问题

    在机器学习中,有一种误差()是无法被消除的,这种误差常常由数据噪音和随机性产生,我们在对数据进行建模的时候通常允许这种误差的存在,这种误差叫做() A: 不可避免误差<br/>(Irreducible<br/>Errors) B: 方差(Variance) C: 偏差(Bias) D: 过拟合误差<br/>(Overfitting<br/>Errors)

    在机器学习中,有一种误差()是无法被消除的,这种误差常常由数据噪音和随机性产生,我们在对数据进行建模的时候通常允许这种误差的存在,这种误差叫做() A: 不可避免误差<br/>(Irreducible<br/>Errors) B: 方差(Variance) C: 偏差(Bias) D: 过拟合误差<br/>(Overfitting<br/>Errors)

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