pavopax.github.io

Pawel Paczuski

I am interested in statistical computing and data mining with applications in healthcare. Bullet; pavopax [at] gmail [.] com. Below are notes from a talk at the Harvard Innovation Lab by Jim Waldo, CTO and instructor, Harvard University, on January 19, 2015. The following notes cover about 85% of the talk. See bottom for a bonus. Read more. The Guardian: Why Your Data Matters. Summary Statistics Obscure Important Details". Deflating Big Data Hubris. A Peek into Apple University. Then you must consider Bi...

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I am interested in statistical computing and data mining with applications in healthcare. Bullet; pavopax [at] gmail [.] com. Below are notes from a talk at the Harvard Innovation Lab by Jim Waldo, CTO and instructor, Harvard University, on January 19, 2015. The following notes cover about 85% of the talk. See bottom for a bonus. Read more. The Guardian: Why Your Data Matters. Summary Statistics Obscure Important Details. Deflating Big Data Hubris. A Peek into Apple University. Then you must consider Bi...

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Pawel Paczuski | pavopax.github.io Reviews

https://pavopax.github.io

I am interested in statistical computing and data mining with applications in healthcare. Bullet; pavopax [at] gmail [.] com. Below are notes from a talk at the Harvard Innovation Lab by Jim Waldo, CTO and instructor, Harvard University, on January 19, 2015. The following notes cover about 85% of the talk. See bottom for a bonus. Read more. The Guardian: Why Your Data Matters. Summary Statistics Obscure Important Details". Deflating Big Data Hubris. A Peek into Apple University. Then you must consider Bi...

INTERNAL PAGES

pavopax.github.io

1

Deflating Big Data Hubris

http://pavopax.github.io/2014/09/deflating-big-data-hubris

Deflating Big Data Hubris. Written Sep 24, 2014. The highs and lows of Google Flu trends, once a poster child for the power of big-data analysis, serve as a case study for David Lazer, Ryan Kennedy, Gary King, et al, in their Science Magazine* article The Parable of Google Flu: Traps in Big Data Analysis. In the age of big data hubris, here are two takeaways from their analysis:. Don’t neglect old lessons learned, but combine new methods with previous wisdom:. The article is available here:.

2

The Guardian: Why Your Data Matters

http://pavopax.github.io/2014/11/guardian-why-your-data-matters

The Guardian: Why Your Data Matters. Written Nov 14, 2014. Rather than burying its data collection motives and tactics in an obscure privacy policy, the Guardian has set up a portal* with articles and videos explaining these in layman’s terms. A Reuters contributor comments*: We’re getting to a stage where we believe that trust is becoming a key differentiator for brands. Some excerpts from the Guardian’s website follow, with links at bottom. Why your data matters - a feature in the Guardian.

3

"Summary Statistics Obscure Important Details"

http://pavopax.github.io/2014/11/weisman-thinking-about-data

Summary Statistics Obscure Important Details". Written Nov 7, 2014. Boston Data Festival was this week. Packed with excellent talks on topics from Quantifying Culture to Evaluating Trading Algorithms Using Probabilistic Programming. And while the focus in data science today seems to be on big data and novel methods like deep learning, David Weisman, a 30-year veteran of the field, decided to focus on the basics during his presentation on Friday night. Small samples have high variance. Further, large effe...

4

Blog

http://pavopax.github.io/blog/index.html

12 Sep 2016 Popular R packages (latest). 12 Jul 2016 Distinguishing between statistical modeling and machine learning. 06 Jul 2016 Where a human still beats an algorithm. 07 Jun 2016 Essential R packages that will dramatically improve your workflow. 19 Jan 2015 Software Carpentry. 14 Nov 2014 The Guardian: Why Your Data Matters. 07 Nov 2014 Summary Statistics Obscure Important Details. 24 Sep 2014 Deflating Big Data Hubris. 26 Aug 2014 A Peek into Apple University. Then you must consider Big-Data bias.

5

About

http://pavopax.github.io/about/index.html

I teach and develop machine learning course materials for an 8-week Data Science Fellowship and other educational programs at the Data Incubator. I have a background in applied statistics, specifically in the field of public health. Until March 2015, I applied statistical methods to the design and analysis of clinical trials at Harvard School of Public Health. Where instead of using a summary statistic such as slope of response, or area under the curve, we wanted to incorporate the entire functional form...

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pavopax.github.io

Pawel Paczuski

I am interested in statistical computing and data mining with applications in healthcare. Bullet; pavopax [at] gmail [.] com. Below are notes from a talk at the Harvard Innovation Lab by Jim Waldo, CTO and instructor, Harvard University, on January 19, 2015. The following notes cover about 85% of the talk. See bottom for a bonus. Read more. The Guardian: Why Your Data Matters. Summary Statistics Obscure Important Details". Deflating Big Data Hubris. A Peek into Apple University. Then you must consider Bi...

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