How to Read Machine Learning Papers Effectively

The field of machine and deep learning is evolving very fast, and there are new research outputs every day. Therefore you will need to read papers to stay updated with the new algorithms and techniques in this field. Reading a research paper is very important as it increases your knowledge and gives you a deeper understanding of a certain topic and is a key element to staying at the top of your field, especially if you are working as a researcher. Andrew NG says:

If you read 5 -20 papers in a certain topic such as object detection you will have a basic understanding of it, while if you read 50 -100 papers and understand most of them you will have a very good understanding of an area or you might even master it.

Therefore every machine learning researcher or practitioner needs to develop a habit of reading a research paper and be able to do it effectively. In this article, I will go through how to effectively and efficiently read a research paper without losing interest or putting too much time and effort without any benefits.

Photo by Annie Spratt on Unsplash

Table of Contents:

1. Why You Read a Research Paper
2. Exploring a Research Paper
3. Increase Your Knowledge
4. Applying
5. Building Upon
6. Closing Remarks
7. References

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1. Why You Read a Research Paper