Category: Data Science

Author: Matt Mayo Editor Join industry leaders at Predictive Analytics World for Industry 4.0, 11-12 May, to broaden your knowledge, deepen your understanding, discuss your […] Read More

Author: William Vorhies Summary:  If you’re planning your AI/ML business strategy watch out for the confusion in categories and overly risky ratings given by some […] Read More

Author: Matt Mayo Editor Also: The Death of Data Scientists — will AutoML replace them?; Probability Distributions in Data Science; The Big Bad NLP Database: […] 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: Vincent Granville The methodology described here has broad applications, leading to new statistical tests, new type of ANOVA (analysis of variance), improved design of […] 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: mtdearing Edge analytics is considered to be the future of sensor handling, and this article discusses its benefits and architecture of modern edge devices, […] Read More

Author: Slava Vaniukov AI in healthcare is something that is revolutionizing the industry and medical treatment that we as the patients receive. But AI, in […] Read More

Author: mtdearing While the use of Decision Trees in machine learning has been around for awhile, the technique remains powerful and popular. This guide first […] Read More