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Machine Learning--Week1

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Linzertorte 2014-6-24 23:22:12 | 只看该作者
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Review questions.
更多图片 小图 大图
组图打开中,请稍候......
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kelvinzhong 2014-6-25 19:06:37 | 只看该作者
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截图太麻烦了..我直接复制粘贴了...

Linear Regression Help

View Instructions
Due Date         Sun 13 Jul 2014 11:59 PM PDT
If you submit after the due date (but before the hard deadline), your submission score will be penalized 20%.

Hard Deadline         Sun 14 Sep 2014 11:59 PM PDT
If you submit any time after the hard deadline, you will not receive credit.

Part        Name        Last Submission        Score        Feedback       
1 / 7        Warm up exercise        Fri 20 Jun 2014 7:59 PM PDT         10.00 / 10        View       
2 / 7        Compute cost for one variable        Sun 22 Jun 2014 5:47 AM PDT         40.00 / 40        View       
3 / 7        Gradient descent for one variable        Sun 22 Jun 2014 5:47 AM PDT         50.00 / 50        View       
4 / 7        Feature normalization (optional)        Sun 22 Jun 2014 6:05 AM PDT         10.00 / 10        View       
5 / 7        Compute Cost for Multiple Variables (optional)        Sun 22 Jun 2014 6:21 AM PDT         15.00 / 15        View       
6 / 7        Gradient Descent for Multiple Variables (optional)        Sun 22 Jun 2014 6:22 AM PDT         15.00 / 15        View       
7 / 7        Normal Equations (optional)        Sun 22 Jun 2014 6:29 AM PDT         10.00 / 10        View       
Total Score        150 / 100

I. Introduction Help

Attempt Review Question
Due Date         Sun 6 Jul 2014 11:59 PM PDT
If you submit after the due date (but before the hard deadline), your submission score will be penalized 20%.

Hard Deadline         Sun 14 Sep 2014 11:59 PM PDT
If you submit any time after the hard deadline, you will not receive credit.

Effective Score        5.00 / 5.00
Explanation: 5.00 = 5.00 (Score for attempt 1) * 100% (No penalties)
Each time that you attempt it, we'll record a score based on your performance and any penalties due to late submissions. Your effective score will be the highest score of all the allowed attempts made before the hard deadline.

# of Attempts        1 / 100
Last Attempted        Tue 17 Jun 2014 8:04 PM PDT
Last Attempted Score        5.00 / 5.00Show Previous Attempts
  II. Linear Regression with One Variable (Week 1)
(expanded, click to collapse)
Completed
II. Linear regression with one variable Help

Attempt Review Question
Due Date         Sun 6 Jul 2014 11:59 PM PDT
If you submit after the due date (but before the hard deadline), your submission score will be penalized 20%.

Hard Deadline         Sun 14 Sep 2014 11:59 PM PDT
If you submit any time after the hard deadline, you will not receive credit.

Effective Score        5.00 / 5.00
Explanation: 5.00 = 5.00 (Score for attempt 1) * 100% (No penalties)
Each time that you attempt it, we'll record a score based on your performance and any penalties due to late submissions. Your effective score will be the highest score of all the allowed attempts made before the hard deadline.

# of Attempts        1 / 100
Last Attempted        Fri 20 Jun 2014 5:41 AM PDT
Last Attempted Score        5.00 / 5.00Show Previous Attempts
  III. Linear Algebra Review (Week 1, Optional)
(expanded, click to collapse)
III. Linear Algebra Help

Attempt Review Question
Due Date         Sun 6 Jul 2014 11:59 PM PDT
If you submit after the due date (but before the hard deadline), your submission score will be penalized 20%.

Hard Deadline         Sun 14 Sep 2014 11:59 PM PDT
If you submit any time after the hard deadline, you will not receive credit.

Effective Score        N/A
Each time that you attempt it, we'll record a score based on your performance and any penalties due to late submissions. Your effective score will be the highest score of all the allowed attempts made before the hard deadline.

# of Attempts        0 / 100
  IV. Linear Regression with Multiple Variables (Week 2)
(expanded, click to collapse)
Completed
IV. Linear Regression with Multiple Variables Help

Attempt Review Question
Due Date         Sun 13 Jul 2014 11:59 PM PDT
If you submit after the due date (but before the hard deadline), your submission score will be penalized 20%.

Hard Deadline         Sun 14 Sep 2014 11:59 PM PDT
If you submit any time after the hard deadline, you will not receive credit.

Effective Score        4.00 / 5.00
Explanation: 4.00 = 4.00 (Score for attempt 2) * 100% (No penalties)
Each time that you attempt it, we'll record a score based on your performance and any penalties due to late submissions. Your effective score will be the highest score of all the allowed attempts made before the hard deadline.

# of Attempts        2 / 100
Last Attempted        Fri 20 Jun 2014 6:47 AM PDT
Last Attempted Score        4.00 / 5.00Show Previous Attempts
  V. Octave Tutorial (Week 2)
(expanded, click to collapse)
Completed
V. Octave Tutorial Help

Attempt Review Question
Due Date         Sun 31 Aug 2014 11:59 PM PDT
If you submit after the due date (but before the hard deadline), your submission score will be penalized 20%.

Hard Deadline         Mon 1 Sep 2014 11:59 PM PDT
If you submit any time after the hard deadline, you will not receive credit.

Effective Score        5.00 / 5.00
Explanation: 5.00 = 5.00 (Score for attempt 1) * 100% (No penalties)
Each time that you attempt it, we'll record a score based on your performance and any penalties due to late submissions. Your effective score will be the highest score of all the allowed attempts made before the hard deadline.

# of Attempts        1 / 100
Last Attempted        Fri 20 Jun 2014 6:59 PM PDT
Last Attempted Score        5.00 / 5.00
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只能用MATLAB或者octave,有点frustrate。
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🔗
kimi81017 2014-6-30 19:41:47 | 只看该作者
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同求加分!!

捕获.PNG (48.83 KB, 下载次数: 0)

捕获.PNG

点评

漏了一些截图  发表于 2014-6-30 22:56
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🔗
kimi81017 2014-6-30 23:31:27 | 只看该作者
全局:
I. Introduction Help

Attempt Review Question
Due Date         Sun 6 Jul 2014 11:59 PM PDT
If you submit after the due date (but before the hard deadline), your submission score will be penalized 20%.

Hard Deadline         Sun 14 Sep 2014 11:59 PM PDT
If you submit any time after the hard deadline, you will not receive credit.

Effective Score        5.00 / 5.00
Explanation: 5.00 = 5.00 (Score for attempt 4) * 100% (No penalties)
Each time that you attempt it, we'll record a score based on your performance and any penalties due to late submissions. Your effective score will be the highest score of all the allowed attempts made before the hard deadline.

# of Attempts        2 / 100
Last Attempted        Sat 21 Jun 2014 4:32 AM PDT
Last Attempted Score        5.00 / 5.00Show Previous Attempts
  II. Linear Regression with One Variable (Week 1)
(collapsed, click to expand)
Completed
II. Linear regression with one variable Help

Attempt Review Question
Due Date         Sun 6 Jul 2014 11:59 PM PDT
If you submit after the due date (but before the hard deadline), your submission score will be penalized 20%.

Hard Deadline         Sun 14 Sep 2014 11:59 PM PDT
If you submit any time after the hard deadline, you will not receive credit.

Effective Score        5.00 / 5.00
Explanation: 5.00 = 5.00 (Score for attempt 3) * 100% (No penalties)
Each time that you attempt it, we'll record a score based on your performance and any penalties due to late submissions. Your effective score will be the highest score of all the allowed attempts made before the hard deadline.

# of Attempts        1 / 100
Last Attempted        Sat 21 Jun 2014 4:37 AM PDT
Last Attempted Score        5.00 / 5.00Show Previous Attempts
  III. Linear Algebra Review (Week 1, Optional)
(collapsed, click to expand)
Completed
III. Linear Algebra Help

Attempt Review Question
Due Date         Sun 6 Jul 2014 11:59 PM PDT
If you submit after the due date (but before the hard deadline), your submission score will be penalized 20%.

Hard Deadline         Sun 14 Sep 2014 11:59 PM PDT
If you submit any time after the hard deadline, you will not receive credit.

Effective Score        5.00 / 5.00
Explanation: 5.00 = 5.00 (Score for attempt 1) * 100% (No penalties)
Each time that you attempt it, we'll record a score based on your performance and any penalties due to late submissions. Your effective score will be the highest score of all the allowed attempts made before the hard deadline.

# of Attempts        1 / 100
Last Attempted        Sat 21 Jun 2014 8:51 PM PDT
Last Attempted Score        5.00 / 5.00Show Previous Attempts
  IV. Linear Regression with Multiple Variables (Week 2)
(collapsed, click to expand)
Completed
IV. Linear Regression with Multiple Variables Help

Attempt Review Question
Due Date         Sun 13 Jul 2014 11:59 PM PDT
If you submit after the due date (but before the hard deadline), your submission score will be penalized 20%.

Hard Deadline         Sun 14 Sep 2014 11:59 PM PDT
If you submit any time after the hard deadline, you will not receive credit.

Effective Score        5.00 / 5.00
Explanation: 5.00 = 5.00 (Score for attempt 3) * 100% (No penalties)
Each time that you attempt it, we'll record a score based on your performance and any penalties due to late submissions. Your effective score will be the highest score of all the allowed attempts made before the hard deadline.

# of Attempts        2 / 100
Last Attempted        Sun 22 Jun 2014 12:59 AM PDT
Last Attempted Score        5.00 / 5.00Show Previous Attempts
  V. Octave Tutorial (Week 2)
(collapsed, click to expand)
Completed
V. Octave Tutorial Help

Attempt Review Question
Due Date         Sun 31 Aug 2014 11:59 PM PDT
If you submit after the due date (but before the hard deadline), your submission score will be penalized 20%.

Hard Deadline         Mon 1 Sep 2014 11:59 PM PDT
If you submit any time after the hard deadline, you will not receive credit.

Effective Score        5.00 / 5.00
Explanation: 5.00 = 5.00 (Score for attempt 3) * 100% (No penalties)
Each time that you attempt it, we'll record a score based on your performance and any penalties due to late submissions. Your effective score will be the highest score of all the allowed attempts made before the hard deadline.

# of Attempts        1 / 100
Last Attempted        Sun 22 Jun 2014 3:38 AM PDT
Last Attempted Score        5.00 / 5.00Show Previous Attempts
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