aspose file tools*
The moose likes Jython/Python and the fly likes Essence of machine learning Big Moose Saloon
  Search | Java FAQ | Recent Topics | Flagged Topics | Hot Topics | Zero Replies
Register / Login
JavaRanch » Java Forums » Languages » Jython/Python
Bookmark "Essence of machine learning" Watch "Essence of machine learning" New topic
Author

Essence of machine learning

Kurt Van Etten
Ranch Hand

Joined: Sep 07, 2010
Posts: 98
I'm new to machine learning and have only a vague idea of what it encompasses. In looking through the table of contents of "Machine Learning in Action", it seems like it contains an assortment of seemingly unrelated techniques for solving certain types of problems. What I'm wondering is if there is an overarching theme or philosophy which unites these different techniques together? Thanks!
Josh William
Greenhorn

Joined: Sep 25, 2008
Posts: 8
Yes, in their most raw form: empirical data (input), mathematics (largely statistics giving the algorithm/process used in "learning"), inference (output/estimate).

Essentially the philosophy is that the underlying process that determines an outcome that we wish to derive is unknown or very complex. By using empirical data and a certain amount of mathematical/statistical sophistication we can arrive at an estimate that is more accurate on average than a hard-coded (i.e. non-learning based) algorithm. In many cases, we do not know enough about the process to even write an algorithm to describe it adequately; instead, we "let the data speak for itself" in determining a mathematical relationship.
 
I agree. Here's the link: http://aspose.com/file-tools
 
subject: Essence of machine learning