Learn how to write a machine learning (ML) research paper
Introduction video of lecture series on how to write a machine learning (ML) research paper.
Summary: To write a machine learning (ML) research paper, authors are required to speed through a ton of papers to get an overall idea of what a paper should look like and what should or shouldn't go in it. While there are high-level templates available, no in-depth walkthrough exists on how to write ML research papers. This lecture series provides a bird’s-eye view of what a typical ML research paper looks like as well as a worm’s-eye view into the different sections as well as the sentences that build up a ML research paper and how to write them. Additionally, this lecture provides guidelines on how to ensure reproducibility in ML research by structuring codebases that could be re-used with ease in future.
The goal is to teach a framework that authors can apply to draft their ML research papers and code, and aim for publishing at prestigious conference or journal venues!
Learning Objectives:
At the end of this lecture series, you will be able to:
Identify the overall layout and key sections that go in a typical ML research paper
Write different sections in an organized manner
Ensure reproducibility of your research work and structure codebases
Apply framework to draft research paper and code