Machine Learning - Coursera week6 Bias vs Variance
Bias vs Variance 1.Diagnosing bias vs variance 有关偏差和方差的问题,也就是欠拟合与过拟合的问题。能够判断一个算法是偏差还是方差有问题对于如何改进学习算法的效果非常重要。下面看一个常见的欠拟合与过拟合的例子。 对训练集数据进行预测或对验证集数据进行预测产生的平均平方误差来衡量模型的好坏。 左边的模型只使用了阶数为1的线性函数去拟合数据，明显欠拟合；而右
相关文章
- 1. Machine Learning week6 quiz1
- 2. Machine learning(9): Bias-variance tradeoff
- 3. Machine Learning - Coursera week6 Error analysis
- 4. week6:Diagnosing Bias vs. Variance难点记录
- 5. Machine Learning - Coursera week6 Evaluating a learning algorithm
- 6. Coursera Machine Learning Week 6 - Advice for Applying Machine Learning
- 7. 【Machine Learning, Coursera】机器学习Week6 机器学习应用建议
- 8. Shallow Learning —Bias and Variance
- 9. Coursera-Machine-Learning-Review-W6
- 10. 【MATLAB】Machine Learning (Coursera Courses Outline & Schedule)
- 更多相关文章...
- • Docker Machine - Docker教程
- • XML 元素 vs. 属性 - DTD 教程
- • Java Agent入门实战（一）-Instrumentation介绍与使用
- • Java Agent入门实战（三）-JVM Attach原理与使用
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Machine Learning week6 quiz1
- 2. Machine learning(9): Bias-variance tradeoff
- 3. Machine Learning - Coursera week6 Error analysis
- 4. week6:Diagnosing Bias vs. Variance难点记录
- 5. Machine Learning - Coursera week6 Evaluating a learning algorithm
- 6. Coursera Machine Learning Week 6 - Advice for Applying Machine Learning
- 7. 【Machine Learning, Coursera】机器学习Week6 机器学习应用建议
- 8. Shallow Learning —Bias and Variance
- 9. Coursera-Machine-Learning-Review-W6
- 10. 【MATLAB】Machine Learning (Coursera Courses Outline & Schedule)