Category: Data Science

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 ODSC West comes to San Francisco on Oct 29 – Nov 1. With over 300 hours of content, 200+ speakers, and […] Read More

Author: Stephanie Glen P-values (“Probability values”) are one way to test if the result from an experiment is statistically significant. This picture is a visual aid […] Read More

Author: Matt Mayo Editor Watch UChicago Master of Science in Analytics capstone projects unfold in Real Data, Big Impact and see how students collaborate with […] Read More

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