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

栏目: IT技术 · 发布时间: 3年前

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

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

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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信息学奥林匹克教程·提高篇

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吴耀斌 / 湖南师范大学出版社 / 2003-1 / 24.00元

《信息学奥林匹克教程》(提高篇)既有各个算法设计基本思路的讲解及对求解问题的分析,注重了算法引导分析与不同算法的比较,又给出了具体的编程思路与参考程序,程序采用信息学竞赛流行的Turbo Pascal7.0语言编写,并注重结构化与可读性。一起来看看 《信息学奥林匹克教程·提高篇》 这本书的介绍吧!

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