| 文件 | 时间 | 大小 | 操作 | |
|---|---|---|---|---|
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1.昨日复习_.mp4 | 2022-09-03 11:50:06 | 11.17 MB | |
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10.过拟合和欠拟合_.mp4 | 2022-09-03 11:50:06 | 17.39 MB | |
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11.正则化_.mp4 | 2022-09-03 11:50:06 | 20.36 MB | |
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12.正则化线性模型_.mp4 | 2022-09-03 11:50:06 | 15.46 MB | |
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13.岭回归_.mp4 | 2022-09-03 11:50:06 | 9.86 MB | |
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14.模型的保存和加载_.mp4 | 2022-09-03 11:50:06 | 11.29 MB | |
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15.逻辑回归简介_.mp4 | 2022-09-03 11:50:06 | 6.48 MB | |
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16.逻辑回归的原理_.mp4 | 2022-09-03 11:50:06 | 24.06 MB | |
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17.逻辑回归的损失以及优化_.mp4 | 2022-09-03 11:50:06 | 12.35 MB | |
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18.逻辑回归api介绍_.mp4 | 2022-09-03 11:50:06 | 4.51 MB | |
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19.癌症分类预测步骤分析_.mp4 | 2022-09-03 11:50:06 | 7.74 MB | |
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2.数学：求导_.mp4 | 2022-09-03 11:50:06 | 27.74 MB | |
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20.癌症分类预测实现_.mp4 | 2022-09-03 11:50:06 | 27.75 MB | |
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21.分类评估方法_.mp4 | 2022-09-03 11:50:06 | 21.6 MB | |
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22.ROC曲线的绘制_.mp4 | 2022-09-03 11:50:06 | 23.92 MB | |
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23.今日总结_.mp4 | 2022-09-03 11:50:06 | 12.49 MB | |
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3.机器学习算法是如何学习的_.mp4 | 2022-09-03 11:50:06 | 20.95 MB | |
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4.正规方程_.mp4 | 2022-09-03 11:50:06 | 35.47 MB | |
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5.线性回归的损失和优化_.mp4 | 2022-09-03 11:50:06 | 42.43 MB | |
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6.梯度下降法_.mp4 | 2022-09-03 11:50:06 | 27.45 MB | |
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7.线性回归api再介绍_.mp4 | 2022-09-03 11:50:06 | 8.22 MB | |
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8.波士顿房价预测步骤分析_.mp4 | 2022-09-03 11:50:06 | 11.36 MB | |
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9.波士顿房价预测_.mp4 | 2022-09-03 11:50:06 | 23.69 MB |