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: mtdearing If you are a new Data Scientists early in your professional journey, and you’re a bit confused and lost, then follow this advice […] Read More

Author: Prashanth Southekal, PhD Building the High Performing Team for Enterprise Data Analytics Prashanth Southekal and Santhosh Raju Introduction High performing teams hold the key […] Read More

Author: Matt Mayo Editor This blog shows how text data representations can be used to build a classifier to predict a developer’s deep learning framework […] Read More

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