[ COVER OF THE WEEK ]
Data Mining Source
[ AnalyticsWeek BYTES]
[ NEWS BYTES]
[ FEATURED COURSE]
This course is an introduction to statistical data analysis. Topics are chosen from applied probability, sampling, estimation, hypothesis testing, linear regression, analysis of variance, categorical data analysis, and n… more
[ FEATURED READ]
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the “data-analytic thinking” necessary for e… more
[ TIPS & TRICKS OF THE WEEK]
Save yourself from zombie apocalypse from unscalable models
One living and breathing zombie in today’s analytical models is the pulsating absence of error bars. Not every model is scalable or holds ground with increasing data. Error bars that is tagged to almost every models should be duly calibrated. As business models rake in more data the error bars keep it sensible and in check. If error bars are not accounted for, we will make our models susceptible to failure leading us to halloween that we never wants to see.
[ DATA SCIENCE Q&A]
Q:Provide examples of machine-to-machine communications?
– Heart patients wear specialized monitor which gather information regarding heart state
– The collected data is sent to an electronic implanted device which sends back electric shocks to the patient for correcting incorrect rhythms
– Vending machines are capable of messaging the distributor whenever an item is running out of stock
[ VIDEO OF THE WEEK]
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[ QUOTE OF THE WEEK]
Data is not information, information is not knowledge, knowledge is not understanding, understanding is not wisdom. Clifford Stoll
[ PODCAST OF THE WEEK]
[ FACT OF THE WEEK]
A quarter of decision-makers surveyed predict that data volumes in their companies will rise by more than 60 per cent by the end of 2014, with the average of all respondents anticipating a growth of no less than 42 per cent.