Hi all,
ChiPy has an excellent talk lineup this Thursday. We are meeting at Loyola
University at the address below.
*Where:*
Loyola University
Philip H. Corboy Law Center
<https://www.google.com/maps/place/Philip+H.+Corboy+Law+Center/@41.8973803,-…>
Room number 209
25 E Pearson St
Chicago, IL 60611
*When:*
Thursday October 8th, 7:00pm
*How:*
You can rsvp at chipy.org or via our Meetup
<http://www.meetup.com/_ChiPy_/> group.
*What:*
- *Python-fu in the GIMP*
(0:25:00 Minutes)
By: Tanya Schlusser
GIMP (the GNU Image Manipulation Program) is great all by itself but is
even better with Python-fu. This talk demonstrates a little Python-fu to
manipulate images in GIMP.
- *Factor analysis: simplifying high dimensional data sets for
visualization and machine learning*
(0:25:00 Minutes)
By: Mark Albert
For many machine learning problems, there are far more dimensions to our
data than there need to be for efficient learning. Often a first step is
dimensionality reduction to remove both redundancy and noise. In addition
to more efficient automated learning, factor analysis allows us to
visualize high dimensional data sets in our standard human-limited 2 or 3
dimensions. For demonstration, we will apply PCA on a set of questions
asked of the audience to map everyone onto a 2D "personality" map -
allowing us to visualize the underlying personality factors of those
present. Beyond fun visualizations, these techniques are the basis of more
efficient generalization in many machine learning problems.
- *Fancy genetics and simple scripts: Manipulating DNA data and becoming
more proficient with Python*
(0:20:00 Minutes)
By: Mark Mandel
Our ability to read the genetic code of organisms and to use DNA
sequencing to learn new biology has benefited tremendously from
technological advances in the past ten years. My lab looks at how animals
get colonized with specific bacteria. As we have been generating more data
it has become clear that we are underutilizing the information. We are
beginning to build resources to be more efficient and clever at data
processing and data mining from biological samples. I'll talk a little
about the science in the lab and show one of our Python projects that is
functional but in its early stages. I am eager for feedback, and I think
the talk will have resonance for a new motivated Python user in any field.
You can find more information about ChiPy at our website
http://www.chipy.org/
We hope to see you there!
Joe
