Category Archives: talks

Unit Origami

Books

Origami Design Secrets, Mathematical Methods for an Ancient Art by Robert Lang 2003

Roses, Origami & Math by Toshikazu Kawasaki 1998

The Art and Wonder of Origami by Kunuhiko Kasahara 2004

Unit Origami, multidimensional transformation by Tomoko Fuse 1990

 

I taught origami and math as a Talented and Gifted Students class.

I folded these units at Computation and Cupcakes hosted by Women Who Code.This fall I will teach this class to Women Who Code.

Recently I gave star unit origami to someone who said I could never make something so complicated. I can show you how to make something complicated.

Fold a single square piece of paper into the unit.

Take folded units six to make a cube, 12 to make a star.

Unit Origami folded paper into geometric solids
Unit Origami

Each unit has to be exactly the same. Consistent units are just as important as consistent labels on data.
Math concepts covered will include symmetry, transformations, group theory, number theory, fractions and geometric solids. While folding paper think about complex concepts that are important in big data, tensorflow, neural networks, machine learning and cryptography.

Rgraphviz

I gave a talk on graph theory using R.
One library that I used was Rgraphviz. It is available from bioconductor.

source(“http://bioconductor.org/biocLite.R”)
biocLite(“Rgraphviz”)
citation(“Rgraphviz”)

vinsonVinson who helps me code.

Examples from my talk.

randomGraph
in graph library
undirected random graph
arguments
V nodes
M values
p probability
example code
library(“Rgraphviz”)
set.seed(123)
V M g1 g1 renderGraph(g1)

Books That I used In My Data Science Talk

This a is a list of books most of which I have previously reviewed.

bonnieBonnie who guards the books.

Algorithms, Robert Sedwick, Kevin Wayne 2011
The Black Belt Memory Jogger, Six Sigma Academy 2002
Six Sigma with R, E. Cano, J. Moguerza, A. Redchuk 2012
Graphical Models with R, S. Hojsgaard
The Cartoon Guide to Statistics, L. Gonick & W. Smith
R for Business Analytics, A Ohri
The Art of R Programming, N Matloff
The Elements of Statistical Learning, T. Hastie, R. Tibshirani, J. Friedman