machine learning project

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finalprojectq3.docx

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The following sections are suggested for your final report: 1) The Problem Definition or Statement (explain your problem clearly) -What is your research question? -Why this is an interesting question to ask? -Why we would care about the answer to this question? -Is there any existing research work has tried to answer the same or a similar question? -What is still unknown? 2) Your Approaches -provide sufficient motivation for your work and explain how your work is connected with the existing/previous work - explain your methods with sufficient details 3) Experimental Results (discuss the research results) - How did evaluate your solution? -What measures did you use? 4) Conclusions and ideas for future work - summarize your work -draw conclusions if possible -discuss how you think the work can be further improved/extended 5) Related Work (browse recent conference proceedings) -Association for Computing Machinery -International Conference on Machine Learning -the journal Machine Learning 6) References There is no strict length requirement. You may target at anywhere between 6 pages and 10 pages without counting any necessary appendices. Actually, given the same amount of essential information, the shorter the better; of course, you will have to judge what counts as "essential information". A good report should include a straightforward description of what your team did. If you chose a challenging project, the report should demonstrate your research contributions very clearly and convincingly. Thus it is important that you think very clearly about what are the major points you want to make and include arguments and empirical evidence that support your points. For example, you may want to summarize or plot your experiment results in certain particular way rather than some other way, because the "particular way" would support your point better. Always keep in mind what exactly you expect your readers to learn from your report, including both positive and negative findings.