[Bangpypers] The big data paradox - A public lecture ( today -9th Oct , 5.45 PM - 8 PM) conducted by Hasgeek
In our daily workings with Python and its powerful libraries in the
domain (among others), it's easy to understand why we intuitively
like - "More data is good", "The more, the better" etc, because, for the
most part, they do help in solving problems more accurately by considering
larger representative data - the kind of representation that is possible
just by virtue of the sheer quantity of it.
Today's public (& free) lecture conducted by Hasgeek <https://hasgeek.com>
however, is titled - *The big data paradox: how a company like Mozilla is
focussing on better data, not more
-where Stan Leong, Dr. Rebecca Weiss and Urmkia - Mika - Devi Shah from
Mozilla's senior Leadership will be sharing their experiences about
creating first-class products that don’t compromise personal data and focus
instead on what matters: function, performance, engagement, and trust.
This is an intriguing premise and I think it'd benefit you to attend as
well, if you're working even remotely with data (big or small :) )