Posts Tagged ‘ Academic ’

Use StatRep for Integrating SAS in Beamer Slides

July 14, 2017
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Use StatRep for Integrating SAS in Beamer Slides

You can install the StatRep package by downloading statrep.zip from support.sas.com/StatRepPackage, which contains: doc/statrepmanual.pdf – The StatRep User’s Guide (this manual) doc/quickstart.tex – A template and tutorial sample LATEX file sas/statrep_macros.sas – The StatRep SAS macros sas/statrep_tagset.sas – The StatRep SAS tagset for LaTeX tabular output statrep.ins – The LATEX package installer file statrep.dtx – […]

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Useful for referring—02-20-2015

February 20, 2015
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Useful for referring—02-20-2015

  Deep Learning Master Class Advances in Variational Inference Numerical Optimization: Understanding L-BFGS An exact mapping between the Variational Renormalization Group and Deep Learning New ASA Guidelines for Undergraduate Statistics Programs 奇异值分解(We Recommend a Singular Value Decomposition) 如何简单形象又有趣地讲解神经网络是什么? Academic vs. Industry Careers Hadley Wickham: Impact the world by being useful Statisticians in World War II: […]

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Useful for referring—02-20-2015

February 20, 2015
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Useful for referring—02-20-2015

  Deep Learning Master Class Advances in Variational Inference Numerical Optimization: Understanding L-BFGS An exact mapping between the Variational Renormalization Group and Deep Learning New ASA Guidelines for Undergraduate Statistics Programs 奇异值分解(We Recommend a Singular Value Decomposition) 如何简单形象又有趣地讲解神经网络是什么? Academic vs. Industry Careers Hadley Wickham: Impact the world by being useful Statisticians in World War II: […]

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Optimal Design of Experiments

January 11, 2015
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Optimal Design of Experiments

The first colloquium speaker at this semester, professor Wei Zheng from IUPUI, will give a talk on “Universally optimal designs for two interference models“. In this data explosive age, people are easy to get big data set, which renders people difficult to make inferences from such massive data. Since people usually think that with more […]

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Optimal Design of Experiments

January 11, 2015
By
Optimal Design of Experiments

The first colloquium speaker at this semester, professor Wei Zheng from IUPUI, will give a talk on “Universally optimal designs for two interference models“. In this data explosive age, people are easy to get big data set, which renders people difficult to make inferences from such massive data. Since people usually think that with more […]

Read more »

Qualities Characterizing a Great PhD Student Given by David Karger from MIT

December 31, 2014
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Qualities Characterizing a Great PhD Student Given by David Karger from MIT

I am graduating as a fifth year PhD student and I really agree with Professor David Karger from MIT about the qualities characterizing a great PhD student, especially about the point on “discipline and productivity”. Professor Karger also distinguished the difference between a successful PhD for industry and a successful PhD for academic. Here I just […]

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Qualities Characterizing a Great PhD Student Given by David Karger from MIT

December 31, 2014
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Qualities Characterizing a Great PhD Student Given by David Karger from MIT

I am graduating as a fifth year PhD student and I really agree with Professor David Karger from MIT about the qualities characterizing a great PhD student, especially about the point on “discipline and productivity”. Professor Karger also distinguished the difference between a successful PhD for industry and a successful PhD for academic. Here I just […]

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Machine Learning Books Suggested by Michael I. Jordan from Berkeley

December 30, 2014
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Machine Learning Books Suggested by Michael I. Jordan from Berkeley

There has been a Machine Learning (ML) reading list of books in hacker news for a while, where Professor Michael I. Jordan recommend some books to start on ML for people who are going to devote many decades of their lives to the field, and who want to get to the research frontier fairly quickly. […]

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Machine Learning Books Suggested by Michael I. Jordan from Berkeley

December 30, 2014
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Machine Learning Books Suggested by Michael I. Jordan from Berkeley

There has been a Machine Learning (ML) reading list of books in hacker news for a while, where Professor Michael I. Jordan recommend some books to start on ML for people who are going to devote many decades of their lives to the field, and who want to get to the research frontier fairly quickly. […]

Read more »

Functional Principal Component Analysis

December 20, 2014
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Functional Principal Component Analysis

In mathematics, a general principle for studying an object is always from the study of the object itself to the study of the relationship between objects. In functional data analysis, the most important part for studying of the object itself, i.e. one functional data set, is functional principal component analysis (FPCA). And for the study […]

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