The objective of the Milestone 1 (M1) is identifying a problem setting. Far too often, machine learning is applied to problem spaces that "don't matter". However, an important consideration for "what matters" is that it is inherently debatable. We make thousands of decisions each day that influence us in small, but meaningful ways. Your project should hone in one such decision.
I. Milestone Requirements
This milestone requires that your team successfully identify a problem you have chosen for your project. The requirements of this milestone are as follows:
Your team must have the instructor's permission that a topic is suitable for the course.
Your team's setting must be compliant with the constraints (see II. Setting Constraints).
Your team must submit a document, by the due date, that includes the following:
A clear articulation of whether you are solving a classification or regression problem.
A brief paragraph describing why the problem matters.
A statement describing the contributions of each team member.
Note: Your report must be submitted by 11:59pm on October 9 via Canvas.
andreicozma1
commented
3 years ago
https://web.eecs.utk.edu/~acw/teaching/f21/cosc423/project.html
The objective of the Milestone 1 (M1) is identifying a problem setting. Far too often, machine learning is applied to problem spaces that "don't matter". However, an important consideration for "what matters" is that it is inherently debatable. We make thousands of decisions each day that influence us in small, but meaningful ways. Your project should hone in one such decision.
I. Milestone Requirements This milestone requires that your team successfully identify a problem you have chosen for your project. The requirements of this milestone are as follows:
Your team must have the instructor's permission that a topic is suitable for the course. Your team's setting must be compliant with the constraints (see II. Setting Constraints). Your team must submit a document, by the due date, that includes the following: A clear articulation of whether you are solving a classification or regression problem. A brief paragraph describing why the problem matters. A statement describing the contributions of each team member. Note: Your report must be submitted by 11:59pm on October 9 via Canvas.