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Michael Malak
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  • Denver, CO
  • United States
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Profile Information

Short Bio
Spark developer for two Fortune 200 firms since 2013Q1. Author of upcoming book Spark GraphX In Action. VP Data Science Association.
My Web Site Or LinkedIn Profile
http://technicaltidbit.com
Field of Expertise
Analytics, Visualization, BI, Big Data, Data Science
Professional Status
Technical
Your Company:
Oracle
Interests:
Networking
What is your Favorite Data Mining or Analytical Website?
http://datascienceassn.org

Michael Malak's Blog

5 Data Science Sins To Beware

Posted on October 10, 2013 at 8:26am 0 Comments

InformationWeek has an interview this week with resident Data Science Central blogger Michael Walker about the most common traps awaiting data scientists:

http://www.informationweek.com/big-data/news/big-data-analytics/5-data-science-sins-to-beware/240162426

Free NAS eBook: "Frontiers in Massive Data Analysis"

Posted on September 23, 2013 at 9:35am 0 Comments

A new 191-page PDF eBook published by the National Academies of Sciences Press is available, "Frontiers in Massive Data Analysis," and can be downloaded for free (after free website registration):

http://www.nap.edu/catalog.php?record_id=18374

The first 9 of the 10 chapters offer a comprehensive survey of state-of-the-art big data architectures, machine learning, and analysis techniques.

Chapter 10 really…

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Choropleth in D3.js and Pandas (iPython Notebook)

Posted on July 29, 2013 at 4:23am 0 Comments

There have been various attempts to integrate the D3.js visualization framework into iPython Notebook, in order to provide more visualization options than available with the standard Matplotlib. In my blog post today, I take one of the better integration attempts out there, port it from Windows to the Mac, and demonstrate:

1. Passing a Pandas Dataframe from iPython Notebook into the D3.js Javascript

2. Generating geo color maps in D3.js (not a built-in…

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SparkGrams: compact in-spreadsheet histograms

Posted on June 18, 2013 at 5:17am 0 Comments

My new blog post on what I coined as "sparkgrams".  Included is an implementation in YUI3 for custom website presentations of data, but I wish R and iPython Notebook had similar functionality.

http://technicaltidbit.blogspot.com/2013/06/histogram-thumbnails-inside-yui3-data.html

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