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

栏目: IT技术 · 发布时间: 5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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计算几何

计算几何

邓俊辉 / 清华大学出版社 / 2009-6 / 49.00元

《计算几何:算法与应用(第3版)》的前4章对几何算法进行了讨论,包括几何求交、三角剖分、线性规划等,其中涉及的随机算法也是《计算几何:算法与应用(第3版)》的一个鲜明特点。第5章至第10章介绍了多种几何结构,包括几何查找、kd树、区域树、梯形图、Voronoi图、排列、Delaunay三角剖分、区间树、优先查找树以及线段树等。第11章至第16章结合实际问题,继续讨论了若干几何算法及其数据结构,包括......一起来看看 《计算几何》 这本书的介绍吧!

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