Machine Learning--Week1

求加分
不知道review questions用不用传 要是传得话可能要很多截图

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)
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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)
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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

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

phoebeDD 发表于 2014-6-22 17:10
Hinton教的advanced machine learning。 那货一直试图将学习问题引向N-Body dynamical system，然后用统 ...

你是U Toronto的？
太高大上了，“统计力学 多体”这些大概就是ensemble theory咯？第一次在ML里面听到，涨姿势了

machine learning这么火啊.....当年我兴致勃勃地去学ML，最后发现ML其实就是统计学，再加一点拓扑和实分析.......

需要~也可以直接回复到之前的Machine learning的汇总帖中

sanguine 发表于 2014-6-22 11:30
需要~也可以直接回复到之前的Machine learning的汇总帖中

弄好了 这次先回复到这里 下次回复到汇总贴中~~

phoebeDD 发表于 2014-6-22 01:46
machine learning这么火啊.....当年我兴致勃勃地去学ML，最后发现ML其实就是统计学，再加一点拓扑和实分析. ...

拓扑和实分析

你在哪学的ML这么高级

EroicaCMCS 发表于 2014-6-22 14:35
你在哪学的ML这么高级

Hinton教的advanced machine learning。 那货一直试图将学习问题引向N-Body dynamical system，然后用统计力学的角度尝试求解。

EroicaCMCS 发表于 2014-6-22 17:17
你是U Toronto的？
太高大上了，“统计力学 多体”这些大概就是ensemble theory咯？第一次在ML里面听到 ...

他是搞neural net的。不过你去看看他的论文，外行的话根本就看不出他的论文和neural net有什么关系.......

phoebeDD 发表于 2014-6-22 17:10
Hinton教的advanced machine learning。 那货一直试图将学习问题引向N-Body dynamical system，然后用统 ...

Hinton。。。话说他还在UT吗？还是去谷歌了？

Qiu jia fen