Click to learn more about author Rosaria Silipo. Sometimes when you talk to data scientists, you get this vibe as if you’re talking to priests of an ancient religion. Obscure formulas, complex algorithms, a slang for the initiated, and on top of that, some new required script. If you get these vibes for all projects, […]
Practicing Data Science
Click to learn more about author Rosaria Silipo. There are many declinations of Data Science projects: with or without labeled data; stopping at data wrangling or involving Machine Learning algorithms; predicting classes or predicting numbers; with unevenly distributed classes, with binary classes, or even with no examples at all of one of the classes; with […]
CRISP-DM: The Big Data Process Standard
by Angela Guess Meta S. Brown recently wrote in Forbes, “The term ‘Big Data’ is relatively new, but the challenge it represents, realizing value from voluminous, complex and growing electronic data resources, has existed for decades. So has a meaningful, open standard for data analysis that was specifically developed for dealing with massive datasets; it’s […]