Category: Data Science

Author: Stephanie Glen “Data Scientist” is 2020’s equivalent of the rocket scientist of the 1950’s: mysterious, sexy, and well-paid. But are you actually a “scientist”? […] Read More

Author: Matt Mayo Editor Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about recommender systems and the ways they […] Read More

Author: Capri Granville I can’t find anymore where this chart, featuring relations between distributions, was first published. I remember seeing it on the Cloudera blog. […] Read More

Author: Matt Mayo Editor Also: 5 Obscure #Python Libraries Every Data Scientist Should Know; 9 Skills That Separate Beginners From Intermediate #Python Programmers; Don’t miss […] Read More

Author: Matt Mayo Editor This post is the second part of the tutorial of Tensorflow Serving in order to productionize Tensorflow objects and build a […] Read More

Author: William Vorhies Summary:  Advances in very low cost compute and Model Based Reinforcement Learning make this modeling technique that much closer to adoption in […] Read More

Author: Matt Mayo Editor Two-dimensional score matrices are used in marketing, origination, or account management to make decisions, with other variables or policy rules. Let’s […] Read More

Author: /u/datascience-bot Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data […] Read More

Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More

Author: mtdearing With more professionals from a wide range of less technical fields diving into statistical analysis and data modeling, these experimental techniques can seem […] Read More