LFD Book Forum  

Go Back   LFD Book Forum > Course Discussions > Online LFD course > General comments on the course

 
 
Thread Tools Display Modes
Prev Previous Post   Next Post Next
  #1  
Old 04-10-2012, 01:43 PM
avatarmh avatarmh is offline
Junior Member
 
Join Date: Apr 2012
Location: Washington, DC Metro Area
Posts: 3
Default Assistance requested for "mature" learner

Hi,

Part of my motivation in taking this course is to relearn coding to render tangible and useful my conceptual and mathematical understanding of some of the ML methods.

Unfortunately, it's been a while (decades) since I've done any coding to speak of (although I have found proven to myself that any procedural or declarative aspect of coding are still deeply embedded in my thinking, e.g., I have successfully coded some trivial stuff in Java recently). What I am certain I will have problems with is: I/O especially reading off of the web or data bases, i.e., anything but flat files.

Might anyone recommend to me:
1. Platforms (that are either free or fairly inexpensive)
2. Preferred languages (that are either free or fairly inexpensive)
3. Websites where I might find some code fragments to get me going and build off of.
4. Websites with examples and data.
5. What everyone else is doing that is considered optimal or near-optimal.

Anyone who is willing to take a more tutorial/collaborate interest in the request would be greatly appreciated. I would be happy to explore things I might offer you in return.

Thanks,

Avatar
Reply With Quote
 

Thread Tools
Display Modes

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 Jump


All times are GMT -7. The time now is 01:51 PM.


Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2019, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin, and participants in the Learning From Data MOOC by Yaser S. Abu-Mostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.