Machine Learning Andrew Ng -4. Linear Regression with multiple variables
4.1 Multiple features (多特徵量) Multiple features (variables) Size ( x 1 ) (x_1) (x1) Number of bedrooms ( x 2 ) (x_2) (x2) Number of floors ( x 3 ) (x_3) (x3) Age of homes ( x 4 ) (x_4) (x4) Price (
相關文章
- 1. Machine Learning Andrew Ng -2. Linear regression with one varible
- 2. 【Machine Learning】4 多變量線性迴歸(Linear Regression with Multiple Variables)
- 3. （2）Linear Regression with Multiple Variables
- 4. 【Machine Learning, Coursera】機器學習Week2 Linear Regression with Multiple Variables
- 5. Machine Learning Andrew Ng -6. Logistic Regression
- 6. Linear Ragression with multiple variables
- 7. [C2P3] Andrew Ng - Machine Learning
- 8. Machine learning(4):Linear regression
- 9. 機器學習2——Linear Regression with Multiple Variables
- 10. Andrew Ng機器學習 一： Linear Regression
- 更多相關文章...
- • Docker Machine - Docker教程
- • XSLT
- • Java Agent入門實戰（一）-Instrumentation介紹與使用
- • Java Agent入門實戰（三）-JVM Attach原理與使用
相關標籤/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。
最新文章
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Machine Learning Andrew Ng -2. Linear regression with one varible
- 2. 【Machine Learning】4 多變量線性迴歸(Linear Regression with Multiple Variables)
- 3. （2）Linear Regression with Multiple Variables
- 4. 【Machine Learning, Coursera】機器學習Week2 Linear Regression with Multiple Variables
- 5. Machine Learning Andrew Ng -6. Logistic Regression
- 6. Linear Ragression with multiple variables
- 7. [C2P3] Andrew Ng - Machine Learning
- 8. Machine learning(4):Linear regression
- 9. 機器學習2——Linear Regression with Multiple Variables
- 10. Andrew Ng機器學習 一： Linear Regression