From dd3940169659f62b4b7b9e125d0299528fc6bc81 Mon Sep 17 00:00:00 2001 From: Taiyuan Zhang Date: Fri, 12 Dec 2014 20:32:28 -0500 Subject: [PATCH 1/3] add transcript --- transcripts/Taiyuan-Zhang-2014.md | 33 +++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) create mode 100644 transcripts/Taiyuan-Zhang-2014.md diff --git a/transcripts/Taiyuan-Zhang-2014.md b/transcripts/Taiyuan-Zhang-2014.md new file mode 100644 index 00000000..a8bea70a --- /dev/null +++ b/transcripts/Taiyuan-Zhang-2014.md @@ -0,0 +1,33 @@ +Taiyuan Zhang +----------------------- +### Brief Intro +Machine learning and data mining. Large-scale data processing. + +### Education +**Carnegie Mellon University**, Pittsburgh, PA Dec. 2015(Expected) +Master of Computational Data Science(\textit{Analytic}), School of Computer Science +Selected Courses: Machine Learning, Search Engine, Cloud Computing, Multimedia DB \& Data Mining + +**Tsinghua University**, Beijing, China +Bachelor of Computer Software, School of Software + +### Experience +1. Internship@Hulu +2. Earliest member of A technology startup + +### Projects +#### Multi-Task Recursive Neural Network(10701 Machine Learning Project)} +1. Implemented parser to transform training data into sematic tree required by the algorithm +2. Implemented and tuned stochastic gradient descent and multi-task learning (with \emph{Python, Scipy}) + + +#### Twitter Data Analysis +1. Implemented \emph{Extract-Transform-Load} of twitter data with AWS Streaming Map Reduce. +2. Configured MySQL/Hbase to store and index needed data +3. Implemented and optimized web service with \emph{Undertow} framework in Java + + +#### Non-negative Matrix Factorization based Transfer Learning +1. Designed and implemented a program that can automatically download news documents with categories through RSS from major news websites +2. Developed a program to automatically extract information from heterogeneous Chinese news webpages +3. Designed and implemented a new transfer learning algorithm based on NMF. The algorithm achieves better results in different transfer learning datasets (including a text dataset collected as described above) than state-of-art common subspace learning methods From cf35e49f2e9317af05e351df7b59e8b8f7364ffc Mon Sep 17 00:00:00 2001 From: Taiyuan Zhang Date: Fri, 12 Dec 2014 20:34:14 -0500 Subject: [PATCH 2/3] change specilization --- specializations.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/specializations.md b/specializations.md index 113f943a..be49403b 100644 --- a/specializations.md +++ b/specializations.md @@ -9,7 +9,7 @@ _[Note: I'm adding this section due to the overwhelming amount of input from new Packages * [mlpy](http://mlpy.sourceforge.net) Machine Learning Python -* Machine Learning Toolkit [MILK](http://packages.python.org/milk/) +* [MILK](http://packages.python.org/milk/) Machine Learning Toolkit * [MDP](https://pypi.python.org/pypi/MDP) a collection of supervised and unsupervised learning algorithms * [pyBrain](http://pybrain.org/) modular Machine Learning Library for Python * [Caffe](http://caffe.berkeleyvision.org/) framework for convolutional neural network algorithms @@ -23,6 +23,7 @@ Packages [Wikipedia Definition](http://en.wikipedia.org/wiki/Deep_learning) +* Unsupervised Feature Learning [Tutorial](http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial) by Andrew Ng * Deep Learning [Tutorials](http://deeplearning.net/tutorial/) * Deep Learning Course [Stanford / OpenClassroom](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=DeepLearning) @@ -37,6 +38,7 @@ Packages #### Visualization * [D3.js Tutorial](https://www.dashingd3js.com/table-of-contents) +* [Highcharts](http://www.highcharts.com/) #### Social Network Analysis From 1033a925bb3bd51687c6987d6945b0f62c02d476 Mon Sep 17 00:00:00 2001 From: Taiyuan Zhang Date: Fri, 12 Dec 2014 20:38:12 -0500 Subject: [PATCH 3/3] change ng's link to README --- README.md | 1 + specializations.md | 1 - 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 2c9d5de2..94e4cd59 100644 --- a/README.md +++ b/README.md @@ -120,6 +120,7 @@ _OSDSM Specialization: [Web Scraping & Crawling](https://github.com/datasciencem * **Deep Learning (Neural Networks)** * Neural Networks [Andrej Karpathy / Python Walkthrough](http://karpathy.github.io/neuralnets/) * Neural Networks [U Toronto / Coursera](http://bit.ly/utoronto-neuralnets) + * Unsupervised Feature Learning and Deep Learning [Tutorial](http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial) by Andrew Ng * **Social Network & Graph Analysis** * Social and Economic Networks: Models and Analysis / [Stanford / Coursera](http://bit.ly/stanford-socialeconnetworks) diff --git a/specializations.md b/specializations.md index be49403b..6e7f8ce1 100644 --- a/specializations.md +++ b/specializations.md @@ -23,7 +23,6 @@ Packages [Wikipedia Definition](http://en.wikipedia.org/wiki/Deep_learning) -* Unsupervised Feature Learning [Tutorial](http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial) by Andrew Ng * Deep Learning [Tutorials](http://deeplearning.net/tutorial/) * Deep Learning Course [Stanford / OpenClassroom](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=DeepLearning)