When: July 14, 2016, 6 p.m.

Where: IIT Stuart School of Business

Directions:

One block west of the old Union Station Room: C50 (concourse/basement level)

565 W. Adams Chicago, IL
One block west of the old Union Station Room: C50 (concourse/basement level)

Topics


  • Computer Vision in Python: How to build a basic face detection system
    (0:25:00 Minutes)
    By: Jeremy Watt
    In this short talk Jeremy will describe the universal pipeline for performing object detection (that is, the automatic detection of objects in digital images) in Python. This will include a discussion of various classification schemes, feature extraction methods, and their fusion in the form of deep neural networks. Demo code illustrating these concepts will be shown using the IPython notebook environment.
  • Getting meaningful results from unit tests
    (0:10:00 Minutes)
    By: Manu Phatak
    We count on unittests failure messages to give us reasonable feedback on how to proceed with a failing test. When you're working with builtin data structures and objects, unit test feedback is usually pretty good. It helps you identify and solve the problem. In contrast, the default results you get from custom objects can be practically useless. https://gist.github.com/bionikspoon/2e434a2c193a06b0996cc98c6a604de9
  • Intro to Deploying Django with Ansible
    (0:15:00 Minutes)
    By: Joe Jasinski
    Deploying Django is a breeze when using Ansible. Learn a bit about the power that Ansible provides and how easy it is to get started using it!