|
You are here |
www.scijournal.org | ||
| | | | |
www.jeremykun.com
|
|
| | | | | Graphs are among the most interesting and useful objects in mathematics. Any situation or idea that can be described by objects with connections is a graph, and one of the most prominent examples of a real-world graph that one can come up with is a social network. Recall, if you aren't already familiar with this blog's gentle introduction to graphs, that a graph $ G$ is defined by a set of vertices $ V$, and a set of edges $ E$, each of which connects two vertices. | |
| | | | |
www.markhw.com
|
|
| | | | | ||
| | | | |
niemczuk.tech
|
|
| | | | | Usually when working on data I use octave (when it comes to statistics) and C or Python (when it comes to other data). In the end, however, it all comes down to presenting the data. And here I always use like most people gnuplot and matplotlib. | |
| | | | |
cprimozic.net
|
|
| | | Introduces a browser-based sandbox for building, training, visualizing, and experimenting with neural networks. Includes background information on the tool, usage information, technical implementation details, and a collection of observations and findings from using it myself. | ||