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: 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

Author: Janardhanan PS You are familiar with the term data lake. A data lake is a repository used to store unlimited volume of data. These […] Read More

Author: Matt Mayo Editor Most popular @KDnuggets tweets for Feb 19-25 were: Most Retweeted & Favorited: 9 lessons learned during my first year as a […] Read More

Author: mtdearing Thinking of data science as merely a technical profession, like programming, may take you away from your goals. Focusing on the usability of […] Read More

Author: William Vorhies Summary:  How to measure the degree and value of AI adoption among companies or even countries is hard.  Here’s a beginning proposal […] Read More