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1 | 1 | {
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2 | 2 | "cells": [
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| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "id": "d2b493b7-ef5e-4612-b094-52d84aac0ff3", |
| 6 | + "metadata": {}, |
| 7 | + "source": [ |
| 8 | + "## What is a machine learning research paper?\n", |
| 9 | + "\n", |
| 10 | + "A machine learning research paper is a scientific paper that details findings of a research group on a specific area.\n", |
| 11 | + "\n", |
| 12 | + "The contents of a machine learning research paper can vary from paper to paper but they generally follow the structure:\n", |
| 13 | + "\n", |
| 14 | + "| **Section** | **Contents** |\n", |
| 15 | + "| ----- | ----- | \n", |
| 16 | + "| **Abstract** | An overview/summary of the paper's main findings/contributions. |\n", |
| 17 | + "| **Introduction** | What's the paper's main problem and details of previous methods used to try and solve it. |\n", |
| 18 | + "| **Method** | How did the researchers go about conducting their research? For example, what model(s), data sources, training setups were used? |\n", |
| 19 | + "| **Results** | What are the outcomes of the paper? If a new type of model or training setup was used, how did the results of findings compare to previous works? (this is where **experiment tracking** comes in handy) |\n", |
| 20 | + "| **Conclusion** | What are the limitations of the suggested methods? What are some next steps for the research community? |\n", |
| 21 | + "| **References** | What resources/other papers did the researchers look at to build their own body of work? |\n", |
| 22 | + "| **Appendix** | Are there any extra resources/findings to look at that weren't included in any of the above sections? |" |
| 23 | + ] |
| 24 | + }, |
3 | 25 | {
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4 | 26 | "cell_type": "code",
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5 | 27 | "execution_count": null,
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6 |
| - "id": "fe651c62-7ba8-4c15-819a-6a92ee8f28c4", |
| 28 | + "id": "d8bc9bda-c7e2-407d-99d5-ad387f49b625", |
7 | 29 | "metadata": {},
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8 | 30 | "outputs": [],
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9 | 31 | "source": []
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