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We all love features... lots of features! ...in our new cars, in our gadgets, in our smart phones, in our toys, and in our data sets!
Consider this toy that we found at the thrift store for under $6.00:
This toy house delivers numerous musical and other sound effects that are triggered whenever one of the features in the house is pressed, or…
ContinueAdded by Kirk Borne on January 9, 2015 at 2:30pm — No Comments
In a previous article, we defined data charaterization as a “methodology for generating descriptive parameters that describe the behavior and characteristics of a data item, for use in any unsupervised learning algorithm to find features, clusters, patterns, and trends in the data without the bias of incorporating class…
ContinueAdded by Kirk Borne on May 31, 2014 at 11:30am — No Comments
The extended annotated version of the "Big Data A to Z Glossary of my Favorite Data Science Things" is now live at: http://bit.ly/1g5NcBt
However, the original…
ContinueAdded by Kirk Borne on March 20, 2014 at 3:00pm — No Comments
Check out the new post on DataScienceCentral:
http://www.datasciencecentral.com/profiles/blogs/recommender-systems-past-present-and-future
Read…
ContinueAdded by Kirk Borne on February 28, 2014 at 5:16pm — No Comments
For daily (and weekly) summaries of Big Data, Analytics, Statistics, and Data Science in the news, check out some of these excellent paper.li aggregations (which are just a small sample of many choices):
@analyticbridge: …
Added by Kirk Borne on February 11, 2014 at 6:48pm — No Comments
Here are 13 books on Machine Learning and Data Mining that are great resources, references, and refreshers for Data Scientists. (This is definitely a small selective subsample of the many excellent books available.)
Added by Kirk Borne on January 15, 2014 at 1:30pm — No Comments
Here are 13 informative and inspirational books on Big Data and Data Science. This is definitely not intended to be a comprehensive list (since a complete list of such readings would itself be a form of "Big Data", and consequently the number of possibilities is a nearly uncountable number! NOTE definition of "uncountable" = an infinite set that contains too many elements to be countable.)…
ContinueAdded by Kirk Borne on January 15, 2014 at 12:30pm — 2 Comments
The Comprehensive Analysis of Time Series (CATS) is an increasingly important use case in the field of Big Data analytics. Cat videos on the Internet notwithstanding, the prevalence of time series is perhaps even more universally ubiquitous in big data applications: customer purchase histories, web click logs, social events, human behaviors, speech patterns, weather reports, climate science, numerical simulation science, spread of infectious diseases, market…
ContinueAdded by Kirk Borne on September 6, 2013 at 9:30am — No Comments
When we devote so much time and energy talking about Big Data, are we neglecting the important things that you can do with Small Data?
Maybe, but... probably not.
Looking beyond the Big Data hype helps us to …
ContinueAdded by Kirk Borne on August 7, 2013 at 11:00am — 2 Comments
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