[Part 8 of 12]
In this part we'll look at maths, stats, and other analysis tools. We'll cover the key texts for mathematical programming, look at R as a language and as a library for interacting with from Java, we'll look at graph theory and network analysis tools, and then look at natural language processing.
First up, maths and statistics, including a brief introduction to R.
Maths and Stats (powerpoint)
David Goldberg (1991) What Every Computer Scientist Should Know About Floating-Point Arithmetic
ACM Computing Surveys, 23/1, 5–48
Next up, graph theory and network analysis
Graph theory and networks (powerpoint)
Finally, a look at natural language and text analysis.
Language and text (powerpoint)