m
Line 9: Line 9:
 
*If you are not sure what to do, you may take a look at the statement of the second question in [[Homework_1_OldKiwi |hw1, Spring 2008]]. But please feel free to deviate, as we discussed in class. [[user:mboutin|-pm]]
 
*If you are not sure what to do, you may take a look at the statement of the second question in [[Homework_1_OldKiwi |hw1, Spring 2008]]. But please feel free to deviate, as we discussed in class. [[user:mboutin|-pm]]
 
*I was hoping that some of the guys who volunteered to put information about data acquisition would have done so. Could you please post some links guys?
 
*I was hoping that some of the guys who volunteered to put information about data acquisition would have done so. Could you please post some links guys?
**answer here
+
 
 +
Please visit http://www.kdnuggets.com/datasets/ It is the website with the most number of interesting datasets that i have seen. Just to mention some:
 +
Email dataset from Enron.
 +
Cancer Program Data Sets from Broad Institute.
 +
Yahoo Sandbox Dataset.
 +
UC Irvine Machine Learning Repository.
 +
 
 
*Write comment/question/advice here
 
*Write comment/question/advice here
 
**answer here
 
**answer here

Revision as of 08:16, 6 February 2012


Discussion page for First Homework, ECE662, Spring 2012

  • If you are not sure what to do, you may take a look at the statement of the second question in hw1, Spring 2008. But please feel free to deviate, as we discussed in class. -pm
  • I was hoping that some of the guys who volunteered to put information about data acquisition would have done so. Could you please post some links guys?

Please visit http://www.kdnuggets.com/datasets/ It is the website with the most number of interesting datasets that i have seen. Just to mention some: Email dataset from Enron. Cancer Program Data Sets from Broad Institute. Yahoo Sandbox Dataset. UC Irvine Machine Learning Repository.

  • Write comment/question/advice here
    • answer here

Back to hw1 ECE662 Spring 2012

Back to ECE662 Spring 2012 course page

Alumni Liaison

Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

Dr. Paul Garrett