Open Educational Resources
Document Type
Activity or Lab
Publication Date
Spring 2-2-2019
Abstract
These are materials that may be used in a CS0 course as a light introduction to machine learning.
The materials are mostly Jupyter notebooks which contain a combination of labwork and lecture notes. There are notebooks on Classification, An Introduction to Numpy, and An Introduction to Pandas.
There are also two assessments that could be assigned to students. One is an essay assignment in which students are asked to read and respond to an article on machine bias. The other is a lab-like exercise in which students use pandas and numpy to extract useful information about subway ridership in NYC. This assignment uses public data provided by NYC concerning entrances and exits at MTA stations.
This OER material was produced as a result of the CS04ALL CUNY OER project
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Included in
Artificial Intelligence and Robotics Commons, Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons
Comments
This OER material was produced as a result of the CS04ALL CUNY OER project