Category: Data Science

Author: Paul Derstine by Vic Diloreto, Director, Software Products, Elder Research The Risk Assessment Data Repository (RADR) is a powerful risk analytics platform used to enhance […] Read More

Author: Matt Mayo Editor Also: Kannada-MNIST: A new handwritten digits dataset in ML town; Math for Programmers; The 4 Quadrants of Data Science Skills and […] Read More

Author: Vincent Granville I wrote earlier in 2019 an article entitled New Stock Trading and Lottery Game Rooted in Deep Math, see here. It features […] Read More

Author: Matt Mayo Editor The way we control our data isn’t working. Data is as vulnerable as ever. Download this white paper, which outlines lessons […] Read More

Author: Bill Schmarzo As Kevin Lynch, CTO of The Information Lab in Dublin, was describing how his organization uses the Hypothesis Development Canvas, it occurred […] Read More

Author: Matt Mayo Editor As an engineer, scientist, or researcher, you may want to take advantage of this new and growing technology, but where do […] Read More

Author: William Vorhies Summary:  Data Scientists from Booking.com share many lessons learned in the process of constantly improving their sophisticated ML models.  Not the least […] Read More

Author: /u/datascience-bot Bleep Bloop. Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into […] 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: Matt Mayo Editor In this upcoming webinar on Oct 23 @ 10 AM PT, learn why you should invest time in monitoring your machine […] Read More