Machine Learning week 3 quiz : Logistic Regression
来源:互联网 发布:amazon跟卖软件 编辑:程序博客网 时间:2024/05/16 04:52
Logistic Regression
5 试题
Suppose that you have trained a logistic regression classifier, and it outputs on a new example
Our estimate for
Our estimate for
Our estimate for
Our estimate for
Suppose you have the following training set, and fit a logistic regression classifier
Which of the following are true? Check all that apply.
Adding polynomial features (e.g., instead using
At the optimal value of
Adding polynomial features (e.g., instead using
If we train gradient descent for enough iterations, for some examples
For logistic regression, the gradient is given by
Which of the following statements are true? Check all that apply.
Linear regression always works well for classification if you classify by using a threshold on the prediction made by linear regression.
For logistic regression, sometimes gradient descent will converge to a local minimum (and fail to find the global minimum). This is the reason we prefer more advanced optimization algorithms such as fminunc (conjugate gradient/BFGS/L-BFGS/etc).
The cost function
The sigmoid function
Suppose you train a logistic classifier
Figure:
Figure:
Figure:
Figure:
- Machine Learning week 3 quiz : Logistic Regression
- Machine Learning week 3 quiz : Logistic Regression
- Machine Learning week 3 quiz: programming assignment-Logistic Regression
- Machine Learning week 3 programming exercise logistic regression
- Machine Learning - VI. Logistic Regression逻辑回归 (Week 3)
- Coursera Machine Learning Week 3 - Programming Exercise 2: Logistic Regression
- 吴恩达Machine Learning week 3 review答案: Logistic Regression
- Coursera Machine Learning Week 3.1: Logistic Regression
- Machine Learning week 1 quiz: Linear Regression with One Variable
- Machine Learning week 1 quiz: Linear Regression with One Variable
- Machine Learning week 2 quiz: Linear Regression with Multiple Variables
- Machine Learning week 2 quiz: programming assignment-Linear Regression
- Coursera Machine Learning 第三周 quiz Logistic Regression
- Machine Learning week 3 quiz : Regularization
- Machine Learning:Logistic Regression
- [Machine Learning]--Logistic Regression
- Machine Learning--logistic regression
- Machine Learning:Logistic Regression
- Objective-C基础-对象和方法之间的联系
- CSS 元素垂直居中的 6种方法
- About ANR and OOM
- InnoDB 是基于聚簇索引建立的
- mongodb 避免Out of semaphores to get db connection error
- Machine Learning week 3 quiz : Logistic Regression
- css(二)盒子模型和不同元素类型
- Java编程基础——java概述及环境变量的配置
- 【转】OpenGL多线程创建纹理,附加我的测试结果
- Android Studio中如何引用图片资源
- springmvc中返回的json格式化问题和struts2+spring4+hibernate的jar包
- hihoCoder:1039字符串消除——我通过的解法
- 标准头文件的写法(防止多次添加同一头文件产生错误)
- C#设置System.Net.ServicePointManager.DefaultConnectionLimit,突破Http协议的并发连接数限制