DSC 340: Machine Learning and Neural Networks

The textbook assigned for this class is Hands-on Machine Learning by Aurélien Géron (3rd. ed.).  However, there are many good machine learning resources out there.  A compiled list of resources I find useful is located here, and I will be updating it throughout the semester.

Helpful Links

• The syllabus for the class can be found here.

• Slides and lecture notes for the class can be found at butler-julie.github.io/DSC340LectureNotes

• Pre-class assignments can be found here.

• In-class assignments can be found here.

• Post-class assignments can be found here.

• An anonymous feedback form is located here to provide feedback on the course.

• Assignments are to be submitted on the class D2L page as a PDF copy of the Colab notebook. You can use print to PDF to get this but make sure all code outputs are visible and correct in the PDF.

• There is a class Teams server for communicating with me and with your classmates.  This is optional but recommended as you will likely get answers to your questions quickly.  You should be automatically added to the Teams server prior to the course starting but if not, please contact me.