How You Should Read Research Papers According To Andrew Ng (Stanford Deep Learning Lectures)

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Informational

Instructions on how to approach knowledge acquisition through published research papers by a recognized figure within the world of machine learning and education

Richmond Alake

Jul 2 ·8min read

How You Should Read Research Papers According To Andrew Ng (Stanford Deep Learning Lectures) — Photo by Annie Spratt on Unsplash

“Wisdom is not a product of schooling but of the lifelong attempt to acquire it.”
— Albert Einstein

Introduction

The ability to understand information produced by the individuals at the cutting edge of research within Artificial Intelligence and the Machine learning domain is a skill that every serious machine learning practitioner should acquire.

To stay relevant and increase your knowledge, machine learning practitioners need to have an academic mindset and habit. AI, ML and DL are evolving at a fast pace, and we have to equip ourselves with the knowledge to keep up with the field, knowledge that is only attainable through research papers.

This article will provide you within instructions on how to go through a research paper effectively, and also provide the following:

A systematic approach to reading a collection of papers to gain knowledge within a domain
How to properly read a research paper
Useful online resources that can aid you in searching for papers and key information

For those who would like to get to the key content within this article, scroll down to the section titled “ Reading Research Papers ”.

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Deep Learning

Ian Goodfellow、Yoshua Bengio、Aaron Courville / The MIT Press / 2016-11-11 / USD 72.00

"Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." -- Elon Musk, co-chair of OpenAI; co-founder and CEO of Tesla and SpaceX Deep learning is a for......一起来看看《Deep Learning》这本书的介绍吧!

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