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Kirk Borne's Blog (18)

Smart Cities at the Nexus of Emerging Data Technologies and You

(Source: https://gcn.com/articles/2016/09/07/epa-air-sensor-challenge.aspx)

One of the most significant characteristics of the evolving digital age is the convergence of technologies. That includes information management (databases), data…

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Added by Kirk Borne on September 18, 2016 at 9:00am — No Comments

A Plethora of Open Data Repositories (i.e., thousands!)

Open data repositories are valuable for many reasons, including:

(1) they provide a source of insight and transparency into the domains and organizations that are represented by the data sets;

(2) they enable value creation across a variety of domains, using the data as the “fuel” for innovation, government transformation, new ideas, and new businesses;

(3) they offer a rich variety of data sets for data scientists to sharpen their data mining, knowledge discovery, and…

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Added by Kirk Borne on August 30, 2015 at 2:09pm — No Comments

Meta Collection of Data Science and Big Data Analytics Best Practices, Lessons Learned, and Success Stories

The following list of collections of collections of Data Science and Big Data Analytics Best Practices, Lessons Learned, and Success Stories is an updated version of a previous list posted here.

The flood of articles, webinars, and conferences related to Big Data is generating its own "infoglut". Consequently, it is really helpful when you find resources that…

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Added by Kirk Borne on August 5, 2015 at 10:57am — No Comments

Dummies for Data Science - A Reading List

There are two new books in the "... For Dummies" series that are targeted to our profession: "Data Science For Dummies" by Lillian Pierson, and "Data Mining for Dummies" by …

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Added by Kirk Borne on July 30, 2015 at 4:30am — 2 Comments

Big Data Humor: Top 10 Conversations That You Don’t Want to Have on Data Innovation Day

(Reprinted from http://rocketdatascience.org/?p=157 )

Data Innovation Day was celebrated on January 22, with many excellent events, including these:

http://www.datainnovationday.org/

https://twitter.com/hashtag/datascichat

In honor of the event, I prepared the…

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Added by Kirk Borne on February 3, 2015 at 9:46am — No Comments

Top 10 List – The V's of Big Data

Recently I wrote about the "Top 10 Big Data Challenges – A Serious Look at 10 Big Data V’s", which summarizes some of the big issues associated with the deployment of big data projects. The use of the letter V may seem forced and contrived, but it is used primarily as a mnemonic device to label and recall these critical challenges, in much the same way the…

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Added by Kirk Borne on April 12, 2014 at 8:30am — 9 Comments

Big Data -- Seven Meta-Resources for Best Practices, Lessons Learned, Data Stories, Opportunities, and Insights

The flood of articles, webinars, and conferences related to Big Data is generating its own "infoglut". Consequently, it is really helpful when you find resources that summarize many of the latest developments in one place -- a sort of "Cliff Notes" for Big Data.  Here are six meta-resources that I have found useful, plus one additional collection that I…

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Added by Kirk Borne on April 5, 2014 at 8:30am — No Comments

Two new books in my Data Science and Big Data stack

I recently added two new data analytics books from Pearson to my growing Data Science and Big Data stack:

  1. "R for Everyone: Advanced Analytics and Graphics", by Jared Lander.…
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Added by Kirk Borne on March 29, 2014 at 11:15am — No Comments

Top 10 Capabilities for Exploring Complex Relationships in Data for Scientific Discovery

With all of the discussion about Big Data these days, there is frequest reference to the 3 V’s that represent the top big data challenges: Volume, Velocity, and Variety. These 3 V’s generally refer to the size of the dataset (Volume), the rate at which data is flowing into (or out of) your systems (Velocity), and the complexity (dimensionality) of the data (Variety).  Most practitioners agree that…

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Added by Kirk Borne on March 26, 2014 at 4:30am — 1 Comment

Big Data A to ZZ – A Glossary of my Favorite Data Science Things

Here are some of my favorite things about big data and data science, from A to Z (actually, ZZ):

A – Association rule mining

B – Bayes belief networks

C – Characterization

D –…

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Added by Kirk Borne on March 16, 2014 at 4:00pm — 2 Comments

Recommender Systems - past, present, and future

Recommender systems are among the most fun and profitable applications of data science in the big data world. Training data (corresponding to the historical search, browse, purchase, and customer feedback patterns of your customers) can be converted into golden opportunities for ROI (i.e., Return…

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Added by Kirk Borne on February 28, 2014 at 2:30pm — No Comments

Big Data books - Data Science, Analytics, and Machine Learning. Oh my!

The mantra is famous in Hollywood history: "Lions, and Tigers, and Bears. Oh my!"  It brought fear to young viewers everywhere. But, as the story goes, it was soon obvious that there was nothing to fear. 

With so much Big Data noise, and hype, and pressure (oh my!) pressing in on us from all sides, there is understandable fear and loathing around the concept of Big Data. In my opinion, the way to relieve…

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Added by Kirk Borne on January 21, 2014 at 7:58am — No Comments

10 Great Attributes of Jigsaw Academy's HR Analytics Certification Course

I have been reading about Jigsaw Academy's new HR Analytics Training Course, which starts soon (January 26, 2014). HR Analytics is a remarkably interesting new field -- or, one could say, an old field with exciting new dimensions! The application of…

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Added by Kirk Borne on January 20, 2014 at 9:30pm — No Comments

Big Data - naughty or nice?

Big Data are like your children. You should always love them whether they're naughty or nice. Both dirty data and clean data can convey important actionable information, if properly handled and modeled.  Consequently, always try to follow these…

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Added by Kirk Borne on December 23, 2013 at 10:30am — No Comments

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