How to research

最新推荐文章于 2024-07-19 19:46:42 发布
原创 最新推荐文章于 2024-07-19 19:46:42 发布 · 905 阅读 · 0 ·
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Jian Pei教授做了一场精彩报告，讲述了如何进行DM方面的研究，内容值得一看。

How to research

这是Jian Pei教授做的一个非常精彩的报告，讲了如何做DM方面的研究，讲的非常不错，推荐看。

SetupMDSolids40.zip_how to research_object detect_object track
07-15
在“SetupMDSolids40.zip_how to research_object detect_object track”这个压缩包中，我们可以找到关于对象检测和跟踪的研究论文。这篇论文详细阐述了如何在IT领域，特别是计算机视觉方面，进行有效的物体识别与...
TalkBadExample.rar_how to research_research proposal
07-13
it describes how to make presentation on research
how to research
11-17
很经典,对从事科研人员研究很有帮助,分享给大家,欢迎下载
How to do research?
gcyxf的专栏
04-16 1052
Curiosity (好奇心)，organization (组织能力)和meticulousness (谨小慎微)，这三个特征是researcher应该具备的。如果你尝试开始一个research project，那么发现、评估和归类资源并定义 完善和罗列资料将会帮助你写出一份具有总结性的报告。From WikiHow (Research Project)很不好意思的说，我已经做PhD一年了，导师非
如何做研究(How to research)
weixin_40920183的博客
05-27 567
来自中国科学技术大学 计算机与科学与技术学院 周正阳关于《如何做研究》的心得求分享 求点赞求在看！！！ ...
How to research（经典）
07-23
How to research（经典）讲解如何开始做学术研究 不错的一本书
How to Produce a Quality Research Paper
最新发布
分享各种学习心得和遇到的问题
07-19 1022
Producing a high-quality research paper requires meticulous planning, structured writing, and a keen understanding of the publication process. Below are detailed guidelines and tips to help researchers successfully navigate this process. Tools： ① Taylor &
How to writing a research paper
贵在坚持
12-29 493
How to writing paper. 1. tutorial 1. video Here is a good video about how to write a good research paper. Here. There have two key results: it can read easy by people without area knowledge. main work and creatiy can be understand and judgement by editor
How to Write a Research Proposal
weixin_38759773的博客
03-24 766
文章作者Paul T. P. Wong, Ph.D., C.Psych. (Research Director, Graduate Program in Counselling Psychology. Trinity Western University Langley, BC, Canada). 题为：How to Write a Research Proposal. 全文转载如下： Most ...
about-MPEG-7-audio-features.rar_how to research_mpeg-7
07-13
论文《Adventures in Standardization, or, how we learned to stop worrying and love MPEG-7》深入探讨了MPEG-7标准的制定过程和它在实际应用中的挑战与机遇。作者可能通过这篇论文分享了他们在研究过程中遇到的...
《基于相似度分析的拼写校正器》
TO RESEARCH IS TO SEE BEYOND
10-22 3177
基于相似度分析的拼写校正器吴炜1   周闻钧2   王力生11同济大学计算机系，2同济大学软件学院, 上海市四平路1239号，200092wweric2000@163.com ，zhou_wenjun@21cn.com ，lishwang@online.sh.cn 摘  要:本文将相似度分析应用于英文拼写校正器中。用户在使用搜索引擎进行信息查询时，往往会因输入拼写错误的单词，而
The Ph.D Experience
TO RESEARCH IS TO SEE BEYOND
10-20 1726
The Ph.D ExperienceThe Ph.D Experience  Mihir Bellare Department of Computer Science & Engineering University of California at San Diego  This document records some reflections and inf
智能信息处理系列研讨会：机器学习及其应用
TO RESEARCH IS TO SEE BEYOND
10-22 1648
智能信息处理系列研讨会：机器学习及其应用2004年11月5-7日，上海为了促进智能信息处理领域同行间的交流，陆汝钤院士发起组织了"智能信息处理系列研讨会"，并于2002年12月在复旦大学智能信息处理开放实验室举行了机器学习研讨会。由于研讨会取得了好的反响，实验室决定于2004年11月举行第二次"机器学习及其应用"研讨会，邀请了从事机器学习及相关领域研究的十余位专家前来做报告。该研讨会不征文，但
How to Be a Good Graduate Student
TO RESEARCH IS TO SEE BEYOND
04-26 1623
很不错的文章，虽然是讲关于Phd的，但我觉得同样对其他学生都是有用的，http://www.cs.indiana.edu/how.2b/how.2b.html
数据挖掘与统计工作
TO RESEARCH IS TO SEE BEYOND
10-22 1266
台湾辅仁大学教授谢绑昌先生作的“数据挖掘与统计工作”报告原文http://www.bjstats.gov.cn/zwxx/wzxw/zzwz/200207020115.htm
人家复旦就是有钱
TO RESEARCH IS TO SEE BEYOND
11-08 1202
5－7号复旦智能信息实验室举行了机器学习研讨会，我也去听了2天。主要是去见见早就如雷贯耳的周志华“小牛人”。这次研讨会还是很不错的，主要有很多牛人参加，像王珏，周志华，姚一豫，李航等，而且机器学习也是我很感兴趣的方向。复旦智能实验室真不亏为上海市重点实验室，会议组织的很不错，只是会议室小了点，而且会议室没有坡度，坐着看很累。但人家招待的很周到，连我们这些旁听的都可以蹭饭，而且是3荤2素，他们实验室
how to learn deep learning
03-31
As an AI language model, I can suggest the following steps to learn deep learning: 1. Learn the basics of machine learning: Before diving into deep learning, it is essential to understand the basics of machine learning, including supervised and unsupervised learning, regression, clustering, and classification. 2. Learn programming languages: To work with deep learning, one needs to have a strong foundation in programming languages such as Python and R, as most of the deep learning libraries are written in these languages. 3. Understand the mathematics behind deep learning: Deep learning involves a lot of math, including linear algebra, calculus, and probability. Understanding these concepts will help you better understand the algorithms used in deep learning. 4. Choose a deep learning framework: Popular deep learning frameworks include Tensorflow, Keras, PyTorch, and Caffe. Choose one and learn it. 5. Practice with datasets: Work with datasets to understand how deep learning works in practice. Kaggle is a great platform to get started with real-world datasets. 6. Read research papers: Read research papers to stay up-to-date with the latest advancements in deep learning. 7. Join communities: Join online communities such as Reddit, Discord, or GitHub to connect with other deep learning enthusiasts and learn from them. 8. Build projects: Building projects is the best way to learn deep learning. Start with simple projects and gradually move on to more complex ones. Remember, deep learning is a vast field, and it takes time and effort to master it. Keep practicing, and you will get there.
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