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projectGuidelines

projectGuidelines - CS229 Final Project Guidelines 1 CS 229...

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CS229 Final Project Guidelines 1 CS 229, Autumn 2007 Final Project Guidelines and Suggestions 1 Project overview One of CS229’s goals is to prepare you to (i) apply state-of-the-art machine learning algorithms to an application, and (ii) do research in machine learning. The class’s final project will offer you an opportunity to do exactly this. The important dates for the CS229 project are: Proposals: Due at noon on Friday, 10/19. Milestone: Due at noon on Friday, 11/16. Poster presentations: Morning of Wednesday, 12/12. Final writeup: Due at 11:59pm on Friday, 12/14 (no late days). Projects can be done in teams of up to three students. If you have a project of such grandiose scope and ambition that it cannot be done by a team of only three persons, you can propose doing a project in a team of four. 2 Project topics Your first task is to pick a project topic. If you’re looking for project ideas, please come to either Prof. Ng or the TAs’ office hours, and we’d be happy to brainstorm and suggest some project ideas. In the meantime, here are some suggestions that might also help. Most students do one of three kinds of projects: 1. Application project. This is by far the most common: Pick an application that interests you, and explore how best to apply learning algorithms to solve it. 2. Algorithmic project. Pick a problem or family of problems, and develop a new learning algorithm, or a novel variant of an existing algorithm, to solve it. 3. Theoretical project. Prove some interesting/non-trivial properties of a new or an exist- ing learning algorithm. (This is often quite difficult, and so very few, if any, projects will try to do this.) Some projects will also combine elements of applications and algorithms and theory. Many fantastic class projects come from students picking either an application that they’re interested in, or picking some sub-field of machine learning that they want to explore more, and working on that as their project. If you haven’t worked on a research project before but would like to, you can also use this as an opportunity to try your hand at it. (Just be sure to ask us for help if you’re uncertain how to best get started.)
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