“Efficiency is becoming as important a differentiator as speed and scale. As a result, firms are delving deeper into predictive analytics to realize faster time to value and improve operational performance and decision outcomes.” Gabriel Lowy ( January 22, 2015 )

“Data have no value or meaning in isolation; they exist within a knowledge infrastructure – an ecology of people, practices, technologies, institutions, material objects, and relationships.” Christine L. Borgman ( 2015 )

“Distinguishing between feature selection and dimensionality reduction might seem counter-intuitive at first, since feature selection will eventually lead (reduce dimensionality) to a smaller feature space. In practice, the key difference between the terms “feature selection” and “dimensionality reduction” is that in feature selection, we keep the “original feature axis”, whereas dimensionality reduction usually involves a transformation technique.” Sebastian Raschka ( August 24, 2014 )

“The choice of tools in applied statistics is driven by the objective, the structure of the data, and the nature of the uncertainty in the numbers.” Randy Bartlett ( 29.05.2015 )

“A collection of models and methods for data analysis will be used only if the collection is implemented in a computing environment that makes the models and methods sufficiently efficient to use.” William S. Cleveland ( {2000-2014} )

“The success of any big data or data science initiative is determined by the kind of data that you collect, and how you analyze it.” Vincent Granville ( August 26, 2014 )

“As long as complex models are properly validated, it may be improper to use a model that is built for interpretation rather than predictive performance.” Kuhn, Johnson

“Fi yuo cna raed tihs yuo hvae a sgtrane mnid too. Cna yuo raed tihs? Olny 55 plepoe out of 100 cuold. I could not blveiee taht I cluod aulaclty uesdnatnrd waht I was rdanieg. The phaonmneal pweor of the hmuan mnid, aoccdrnig to a rscheearch at Cambridge Uinervtisy, it deos not mtaetr in waht oerdr the ltteres in a wrod are, the olny iproamtnt tihng is taht the frsit and lsat ltteer be in the rghit pclae.
The rset can be a taotl mses and you can sitll raed it whotuit a pboerlm. Tihs is bcuseae the huamn mnid deos not raed ervey lteter by istlef, but the wrod as a wlohe. Azanmig? I awlyas tghuhot slpeling was ipmorantt! If you can raed tihs forwrad it.” n.n.

“Natural selection is a mechanism for generating an exceedingly high degree of improbability.” R. A. Fisher

“Before starting the analytical modeling process for big data analytics applications, organizations need to have the right skills in place and figure out how much data needs to be analyzed to produce accurate findings.” Ed Burns ( August 2014 )