Python Programming and Machine Learning 1

Learn Python pro­gram­ming as part of an intro­duc­tion to machine learn­ing (ML) appli­ca­tions. No pre­vi­ous pro­gram­ming expe­ri­ence is required, but learn­ers must have basic com­put­er and high-school alge­bra skills. The main top­ics are: vari­ables, expres­sions, con­di­tion­al exe­cu­tion, iter­a­tion, func­tions, how to edit/​execute/​debug python pro­grams, test­ing, pars­ing, com­pu­ta­tion­al prob­lem solv­ing, and iter­a­tive soft­ware devel­op­ment. Includes hands-on, in-class exer­cis­es, stu­dents must be pre­pared to (in class) write Python pro­grams, indi­vid­u­al­ly or in a group.
This course has no prerequisites

Students from all educational backgrounds welcome. You can register for this course without applying and enrolling in a program.

Currently counts towards

* If you are already enroled in this program, please refer to your specific program requirements as outlined at the time of your admission: Bear Tracks > Academic Advisement.

You can register for and take a course without applying and enrolling into the program.

We recommend that you apply to the program as soon as possible to lock in your course requirements as they are subject to change.

This is a skills-enhancing course in
Email

aiml@ualberta.ca

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