Neuromancer Blues" is a series of posts where I would like the reader to find guidance about overall data science topics such as data wrangling, database connectivity, applied mathematics and programming tips to boost code efficiency, readability and speed. My examples and coding snippets will be as short and sweet as possible in order to convey the key idea instead of providing a lengthy code with poor readability that damages the purpose of the…Continue
Added by Carlos Salas, CFA, CQF on May 3, 2020 at 12:30pm — No Comments
Randomised algorithms are built on statistical features played by random numbers.
Quicksort is a good example to illustrate this algorithm. For instance, in a class of taller students would naturally go at the back and…Continue
Added by Dorian.H Mekni on May 2, 2020 at 12:37am — No Comments
There are some expressions about data that are getting a bit tired: Data is the new oil; In God We Trust (all others must bring data); Buy data, sell high...
Okay, you caught me, I kind of made that last one up. But, the point stands: the narrative around data tells us we all understand that it has tremendous value.
Data teams are tasked with gathering information from within their company and from any number of external sources, tying it all…Continue
Added by Tim Lysecki on May 1, 2020 at 11:30am — No Comments
Friday the 13th of March: day one of the Dutch corona lock-down. I was almost out the door to deliver day 4 of a data science product owner training at the University of Amsterdam, but somehow hadn’t connected the dots that the university closings announced the previous evening meant my training was also cancelled. By force of habit,…Continue
Added by David Stephenson on May 1, 2020 at 10:30am — No Comments