LFD Book Forum Pre-requisite help with Math etc...

#1
08-08-2012, 05:57 AM
 itooam Senior Member Join Date: Jul 2012 Posts: 100
Pre-requisite help with Math etc...

I wish we were taught Calculus when I was at school (in UK)...

For all the other's who have muddled through the difficult Math, here are some pretty good videos that I have started watching to get to grips with the more complicated aspects of this course:

Highlights of Calculus - Gilbert Strang

So far I seem to be doing okay on the questions where the Math can be modelled, but things like "set theory" etc, I simply don't have enough Math knowledge to tackle.

Anyone else know of any other good resources etc which you have/think may be useful/beneficial for use with this "Learning From Data" course?
#2
08-08-2012, 03:30 PM
 munchkin Member Join Date: Jul 2012 Posts: 38
Re: Pre-requisite help with Math etc...

Online textbook covers a huge chunk of the math used in computer science and courses such as this one. Good for review or finding out something new:

http://www.cs.princeton.edu/courses/...433/mathcs.pdf

A primer on conditional probability.
http://www.math.uh.edu/~weizhang/M33...eNotes_2_2.pdf
#3
08-10-2012, 05:01 AM
 Keith Member Join Date: Jul 2012 Posts: 16
Re: Pre-requisite help with Math etc...

Here is a free online tool for help with symbolic calculus http://mathomatic.orgserve.de/CGI/math.php This script finds the partial derivative but in a "simplified" form:
(u*e^v+2*v*e^-u)^2
differentiate u
#4
08-11-2012, 12:41 AM
 itooam Senior Member Join Date: Jul 2012 Posts: 100
Re: Pre-requisite help with Math etc...

Keith, thanks for the link, was looking for something like that a few months back. It is brilliant, I wish I'd seen that before doing q4... confirms my working though. A great proofing tool. Do you know if I can use that tool to explicitly give me values of u and v (so I can proof translations)? The best I found was to use the command "calculate" which gives a more user friendly formula (easier to plug into code).
#5
08-11-2012, 07:50 AM
 itooam Senior Member Join Date: Jul 2012 Posts: 100
Re: Pre-requisite help with Math etc...

Keith, your formula above should have been:

(u*e^v-2*v*e^-u)^2

Caused me a bit of initial confusion lol. That'll serve me right for not proofing myself.
#6
08-11-2012, 08:37 AM
 Keith Member Join Date: Jul 2012 Posts: 16
Re: Pre-requisite help with Math etc...

Whoops, sorry about that! Too bad that copy and paste doen't work well between many programs resulting in typos that waste time and cause confusion.
#7
08-12-2012, 07:53 PM
 Mayson Lancaster Junior Member Join Date: Jul 2012 Posts: 7
Re: Pre-requisite help with Math etc...

Quote:
 Originally Posted by itooam Anyone else know of any other good resources etc which you have/think may be useful/beneficial for use with this "Learning From Data" course?
Here's a useful site for calculus, and for plotting:

http://calc.matthen.com
#8
08-13-2012, 05:50 PM
 depinski Junior Member Join Date: Jul 2012 Posts: 1
Re: Pre-requisite help with Math etc...

If your calculus is very rusty, like mine, I suggest using wolframalpha to check your answer for the derivative
ex:
http://www.wolframalpha.com/input/?i...h+respect+to+u

 Thread Tools Display Modes Linear Mode

 Posting Rules You may not post new threads You may not post replies You may not post attachments You may not edit your posts BB code is On Smilies are On [IMG] code is On HTML code is Off Forum Rules
 Forum Jump User Control Panel Private Messages Subscriptions Who's Online Search Forums Forums Home General     General Discussion of Machine Learning     Free Additional Material         Dynamic e-Chapters         Dynamic e-Appendices Course Discussions     Online LFD course         General comments on the course         Homework 1         Homework 2         Homework 3         Homework 4         Homework 5         Homework 6         Homework 7         Homework 8         The Final         Create New Homework Problems Book Feedback - Learning From Data     General comments on the book     Chapter 1 - The Learning Problem     Chapter 2 - Training versus Testing     Chapter 3 - The Linear Model     Chapter 4 - Overfitting     Chapter 5 - Three Learning Principles     e-Chapter 6 - Similarity Based Methods     e-Chapter 7 - Neural Networks     e-Chapter 8 - Support Vector Machines     e-Chapter 9 - Learning Aides     Appendix and Notation     e-Appendices

All times are GMT -7. The time now is 10:08 AM.