Category: Data Science

Author: Packt Publishing Deep learning, an emerging branch of machine learning, has garnered a lot of recognition in the field of technology over the last […] Read More

Author: Matt Mayo Editor The fundamental fact is that more information than ever will need to be analyzed on millions of devices. And that’s where […] Read More

Author: Rafael Knuth Many executives struggle to make sense of machine learning (ML) and deep learning (DL). Having a pragmatic relationship with technology, executives need […] Read More

Author: Gregory Piatetsky KDnuggets is calling for original blogs and contributions from new authors on AI, Data Science, Machine Learning, and related topics. The authors […] Read More

Author: Matt Mayo Editor Also: The Complete Data Science LinkedIn Profile Guide; How Data Analytics Can Assist in Fraud Detection; Research Guide for Depth Estimation […] Read More

Author: William Vorhies Summary:  AML has been around since at least 2016 but only in the last year have Gartner and Forrester begun to offer […] 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: mtdearing With artificial intelligence and machine learning now a mainstay of our daily awareness, news organizations have been seen to overstate the reality behind […] Read More

Author: Matt Mayo Editor During this free Metis Corporate Training webinar, Dec 5 @ 12pm ET, Kerstin Frailey, Senior Data Scientist and Head of Executive […] Read More