[ COVER OF THE WEEK ]
[ AnalyticsWeek BYTES]
[ FEATURED COURSE]
Machine learning (ML) is one of the fastest growing areas of science. It is largely responsible for the rise of giant data companies such as Google, and it has been central to the development of lucrative products, such … more
[ FEATURED READ]
A black swan is an event, positive or negative, that is deemed improbable yet causes massive consequences. In this groundbreaking and prophetic book, Taleb shows in a playful way that Black Swan events explain almost eve… 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:Is it better to spend 5 days developing a 90% accurate solution, or 10 days for 100% accuracy? Depends on the context?
A: * premature optimization is the root of all evils
* At the beginning: quick-and-dirty model is better
* Optimization later
– Depends on the context
– Is error acceptable? Fraud detection, quality assurance
[ VIDEO OF THE WEEK]
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[ QUOTE OF THE WEEK]
It’s easy to lie with statistics. It’s hard to tell the truth without statistics. Andrejs Dunkels
[ PODCAST OF THE WEEK]
[ FACT OF THE WEEK]
Brands and organizations on Facebook receive 34,722 Likes every minute of the day.