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Burton DeWilde

data scientist / physicist / filmmaker

http://bdewilde.github.io/

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Burton DeWilde | bdewilde.github.io Reviews
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data scientist / physicist / filmmaker
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1 burton dewilde
2 about me
3 archive
4 feature design
5 frequency statistics
6 keyphrase extraction
7 graph based ranking
8 task reformulation
9 blogging
10 datakind
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burton dewilde,about me,archive,feature design,frequency statistics,keyphrase extraction,graph based ranking,task reformulation,blogging,datakind,disqus,harmony institute,jekyll,website design,corpus linguistics,dispersion,natural language processing,apis
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Burton DeWilde | bdewilde.github.io Reviews

https://bdewilde.github.io

data scientist / physicist / filmmaker

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1

Archive

http://bdewilde.github.io/archive

Intro to Automatic Keyphrase Extraction. On Starting Over with Jekyll. Friedman Corpus (3) Occurrence and Dispersion. Friedman Corpus (2) Data Quality and Corpus Stats. Friedman Corpus (1) Background and Creation. While I Was Away. Intro to Natural Language Processing (2). A Data Science Education? Connecting to the Data Set. Data, Data, Everywhere. Intro to Natural Language Processing (1). Web Scraping and HTML Parsing (2). Web Scraping and HTML Parsing (1). Classification of Hand-written Digits (4).

2

Friedman Corpus (3) — Occurrence and Dispersion

http://bdewilde.github.io/blog/blogger/2013/11/03/friedman-corpus-1-occurrence-and-dispersion

Friedman Corpus (3) Occurrence and Dispersion. Thus far, I’ve pseudo-justified why a collection of NYT articles by Thomas Friedman. Would be interesting to study, actually compiled/scraped the text and metadata (see Background and Creation. Post), improved/verified the quality of the data, and computed a handful of simple, corpus-level statistics (see Data Quality and Corpus Stats. Post) Now, onward to actual natural language analysis! I would argue that the. Combine all articles into single block of text.

3

Intro to Natural Language Processing (1)

http://bdewilde.github.io/blog/blogger/2012/12/16/intro-to-natural-language-processing-1

Intro to Natural Language Processing (1). First, the big news: I got a job! I’m now a data scientist at a non-profit organization here in Manhattan called Harmony Institute. Second, more big news: Decay, the feature-length, physics-themed zombie movie I co-produced, filmed, and edited while also earning my physics PhD at CERN has been released online! You can watch or download it. Now, back to data science! To sentiment analysis, part-of-speech tagging to speech recognition. NLP is a huge and increasingl...

4

Intro to Automatic Keyphrase Extraction

http://bdewilde.github.io/blog/2014/09/23/intro-to-automatic-keyphrase-extraction

Intro to Automatic Keyphrase Extraction. I often apply natural language processing for purposes of automatically extracting structured information from unstructured (text) datasets. One such task is the extraction of important topical words and phrases from documents, commonly known as terminology extraction. Or automatic keyphrase extraction. As a general rule of thumb, keyphrases should be relevant to one or more of a document’s major topics, and the set of keyphrases describing a document should provi...

5

Burton DeWilde

http://bdewilde.github.io/blog/p2

Intro to Natural Language Processing (1). First, the big news: I got a job! I’m now a data scientist at a non-profit organization here in Manhattan called Harmony Institute. Read More ». Web Scraping and HTML Parsing (2). As I wrote last time. The Internet is chock-full of data, but much of it is messy and unstructured and spread throughout an HTML tree. In other words,. Read More ». Web Scraping and HTML Parsing (1). I haven’t posted in a while: I got displaced by Sandy. Distracted by job applications.

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TOTAL PAGES IN THIS WEBSITE

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LINKS TO THIS WEBSITE

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Denoising a PNG Image with kNN Imputation

https://ryancquan.com/blog/2014/09/26/denoising-a-png-with-knn-imputation

Denoising a PNG Image with kNN Imputation. Here, we attempt to denoise Lena.png. The target image can be downloaded here. See what happens when we vary the. So which value of k do you think produces the best image? Try denoising the image yourself with the script provided below:. Comments powered by Disqus. Public health researcher / data enthusiast. 2014 Powered by Jekyll and bdewilde.

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Principal Component Analysis and Eigenfaces

https://ryancquan.com/blog/2014/09/23/principal-component-analysis-eigenfaces

Principal Component Analysis and Eigenfaces. After an afternoon of playing around with Python’s sklearn. Library, I present to you a short little experiment in dimensionality reduction using the Extended Yale Faces Database B. The extended Yale Face Database B contains 16128 images of 28 human subjects under 9 poses and 64 illumination conditions. Here are some example images from this paper:. Although facial recognition now employs far more sophisticated algorithms. Access the iPython notebook here.

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About Me

https://ryancquan.com/about

My name is Ryan. I am a public health data scientist interested in open-science collaboration, machine learning, and data visualization. While health policy and bioinformatics questions make me tick, I find pleasure in tackling puzzles of any kind. On my free time, I enjoy bicycling through the city and writing blog posts on a number of topics, including workflow optimization strategies, coding tutorials, and open data projects. Master's Degree, Public Health Informatics. Ndash; Data Scientist.

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NYC Playgrounds by Neighborhood

https://ryancquan.com/blog/2015/02/09/nyc-playgrounds

NYC Playgrounds by Neighborhood. If you’ve never found yourself wishing to be young again, New York City will certainly change that. With access to over 1200 recreational play areas chock-full of fun and interactive playthings, life is good for an NYC kid. Heck, some playgrounds are even equipped with spinning water wheels. And giant building blocks. Well, you should be. But is life good for every NYC kid? According to the Park Department’s website. Let’s answer these questions with some data. NTA) to ge...

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Projects

https://ryancquan.com/projects

Predicting Sepsis in the Intensive Care Unit. Building a classifier on large-scale EHR data. To accurately predict a common hospital complication within the ICU and improve patient outcomes. Analytics: Naive Bayes, logistic regression, time-series forecasting, decision trees, support vector machines. Tools: PostgreSQL, Unix shell, R (ggplot2, caret), Python (sklearn). Analytics: sentiment analysis, natural language processing. Tools: R, Python. Mental Health and Substance Use in New York City. Analytics:...

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NYC Open Data Presentation

https://ryancquan.com/blog/2014/11/16/nyc-open-data-presentation

NYC Open Data Presentation. Back in October, I gave a brief presentation on the benefits of NYC Open Data for tracking issues on a district-level. This was primarily motivated from my work at the New York City Council and will be the basis of my MPH thesis, in which I will be creating a knowledge management system to quantify and visualize the 311 data for better communication in the policy arena. However, what I wanted to share with everyone in this post is the idea of reproducible slides using slidify.

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Turn Legislation into BeautifulSoup

https://ryancquan.com/blog/2014/06/16/turn-legislation-into-beautifulsoup

Turn Legislation into BeautifulSoup. So let’s say you want to dig up information on a city ordinance or track some other piece of legislation introduced by your City Council. How would you go about doing this? If your city happens to have some web developers handy, you might find your answer on a site like this: http:/ legistar.council.nyc.gov/. Now you can search to your heart’s content. Fortunately for you, there’s an export to Excel. Button to the rescue! Create .csv file with headers. It is very impo...

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Archive

https://ryancquan.com/archive

NYC Playgrounds by Neighborhood. Sleep Data Analysis with R. Resolving EntityRef - Expecting ';'. NYC Open Data Presentation. Image Compression with PCA. Denoising a PNG Image with kNN Imputation. Principal Component Analysis and Eigenfaces. Exploring New York City Council Meetings Data. JR Podcast #01 - The Formula for Life. Introduction to Medical Misconduct. Turn Legislation into BeautifulSoup. Sublime Text 3: Pandoc: pdflatex not found. On the Millennial Generation. On Public Transportation and People.

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Sleep Data Analysis with R

https://ryancquan.com/blog/2015/01/28/sleep-cycle-analysis

Sleep Data Analysis with R. I have been keeping track of my sleep for over two years using the Sleep Cycle. Clearly, I had trouble sleeping that night. But what’s even more interesting is the ability to export data. Like myself to conduct his own sleep analysis. That being said, let’s fire up R and and answer some questions with. Low since I’m only plotting one piece of information. Next up on this sleep analysis journey is determining how often I slept for when I did fall asleep. This can be answere...

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Resolving EntityRef - Expecting ';'

https://ryancquan.com/blog/2014/11/20/resolving-entity-ref

Resolving EntityRef - Expecting ';'. And I were scraping data off the web (with permission, of course) using R’s. Package when suddenly a wild error appeared! A quick search brought up a few. Offering common solutions. At first glance, we thought that the URL query string was the culprit of our woes - the. Function could not read the unescaped ampersands! Doc - "http:/ somesite.com/xml.php? Error: EntityRef: expecting ';'. However, whether we passed the URL without the escaped ampersands:.

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Burton DeWilde

Intro to Automatic Keyphrase Extraction. I often apply natural language processing for purposes of automatically extracting structured information from unstructured (text) datasets. One such task is the extraction of important topical words and phrases from documents, commonly known as terminology extraction. Or automatic keyphrase extraction. Read More ». On Starting Over with Jekyll. After another lengthy hiatus from blogging, I’m back! Long story short, I got so frustrated with Blogger. Post), improve...

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My Soul's In An Earth Suit | Living A Life Of Praise

My Soul's In An Earth Suit. Living A Life Of Praise. September 19, 2014. September 12, 2014. Fully rely on God. Praising God for what you have. Praising God for who He is. Having trouble praising God? September 17, 2014. September 12, 2014. Praising God for what you have. Praising God for who He is. Tell me Our Lord does not want to hear that? Begin today to rise above that and praise His Holy name. The Storms Of Life. September 15, 2014. September 11, 2014. Praising God for what you have. The second for...

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Becci Dewinetz - Search for Properties in New Westminster, BC

102, 321 - 6th Street. New Westminster, BC V3L 3A7. Please log out to access consumer Login Registration. First Time Home Buyers Guide. Before Writing an Offer. 6 Mistakes Home Buyers Make. Tips for Selling Your Home. Are you Fit to Sell. Sold on a Cure. First Time Home Buyers Guide. Before Writing an Offer. 6 Mistakes Home Buyers Make. Tips for Selling Your Home. Are you Fit to Sell. Sold on a Cure. 100,000 to $150,000. 150,000 to $200,000. 200,000 to $250,000. 250,000 to $300,000. 300,000 to $350,000.

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Blundering through Budapest

Tuesday, January 10, 2012. Friday, December 2, 2011. London, Edinburgh, and more! I have many exciting things to write about, so I apologize if this post gets long. First up, my trip to London and Edinburgh. I left shortly after my last class on Wednesday and arrived at my lodging in London (courtesy of Joseph Replogle) around 10:30pm. The really convenient thing for me is that all of the Pomona students studying in London are staying in the same apartment, so I got to visit them all simultaneously!

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Homepage Trouwen Bas & Eva

Vul hier uw naam en het wachtwoord in:. Vul hier je eigen naam in!

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Home Page

Just because I like this picture so much I think I am going to leave it on here for awhile longer. Here is a photo from a few years ago. Ok, it was in August of 1972, less than a year after The Magic Kingdom opened in Florida. When the only thing there was The Kingdom, Contemporary, and Polynesian. Who would of thought I would be here now working 40 years later. So if you head to The Keys tab, there is updated info there on the trip. 2013 All Right Reserved Privacy Policy.