Learning methods for Bayesian Networks and statistical tools
The Machine Learning API is looking for a new maintainer. If you're interested, send an email to Mark Boudreau at email@example.com
Has a number of machine learning algorithms. Used by the memetracker module to power its results.
Learning Management Systems is an easy to understand article in which author discusses about performance and functionalities of learning management system. Here the author describes about the methods to manage learning and training from an...
In Learning Web Design: A Beginner's Guide to HTML, Graphics, and Beyond, author Jennifer Niederst shares the knowledge she's gained from years of web design experience, both as a designer and as a teacher. This book starts from the very...
Spaghetti learning is a good / e-learning open source and totally free project and it is used by most of the business,schools,institutions and universities in all over nations.The language now supported are English,Spanish,Italian,Finland and...
What is it about?
Learning to use the basic math operation (+, -, *)
Print out of statistics to show you where you are
Being able to define your own training sessions
What has changed?
Guessing Game is a great example to people that are learning how to use function pointers, pointers in general, learning how the rand() function work.
This is an instructional GUI to be used for learning how Euler angles, DCMs, quaternions, and Euler vector parameters relate in the rotation of cartesian frames (A to B). Can also be used to convert between all 4 values, however see below for a...
The file demonstrates interfacing Java with Matlab by using weka (Machine learning software, written in JAVA) as an example.
This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2).
We didn't use any feature of neural network toolbox.