Course Instructions

Save all your work in a single Colab notebook for each day.

The notebooks for each day should be stored in a single folder which will be sent to the instructor as a zip folder at the of the course.

The assignment for each day will be used as the attendance for that day.

Assignments should be completed individually, however, discussions amongst students is allowed and encouraged.

End of Course Tasks:

The following tasks need to be completed at the end of course

Course Project Instructions

As part of the LMH Summer School: Artificial Intelligence and Machine Learning: Theory and Practice, the students will complete a mini-project related to Machine Learning applications. The project should be completed during 11 am-1 pm on the last two days of the course, plus 2 hours of howework (total 6 hours). Students can choose an application related to:

  • Linear and Logistic Regression
  • Simple Neural Networks
  • Convolutional Neural Network

The mini-project requirements are as follows:

  • Project can be done in gorup of upto 3 students.
  • A 2 page project report should be submitted at the end of the course
  • The codes for the project should be provided in a jupyter notebook with the codes for all the plots
  • A 5 min recorded presentation for the project
You can register your group and project on this googlesheet: Course Projects