Category: Data Science

Author: William Vorhies Summary: As the Automated Machine Learning (AML) movement got underway a few years back there was an early branch between proprietary platforms […] 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: Matt Mayo Editor South Dakota State University is seeking a Data Visualization Developer and Analyst in Brookings, SD, to create business intelligence tools and […] Read More

Author: William Vorhies Summary:  Despite hundreds of projects and thousands of data scientists devoted to bringing AI/ML to healthcare, adoption remains low and slow.  A […] Read More

Author: Matt Mayo Editor Getting trained neural networks to be deployed in applications and services can pose challenges for infrastructure managers. Challenges like multiple frameworks, […] Read More

Author: Neeraj Deploying Natural Language Processing for Product Reviews Introduction We have data all around us and there are of two forms of data namely; […] Read More

Author: Gregory PS Editor How Netflix works: the (hugely simplified) complex stuff that happens every time; Top Certificates and Certifications in Analytics, Data Science, ML; […] Read More

Author: Stephanie Glen The basic idea behind regression analysis is to take a set of data and use that data to make predictions. A useful first […] Read More

Author: Matt Mayo Editor This technical webinar on Aug 14 discusses traditional and modern approaches for interpreting black box models. Additionally, we will review cutting […] Read More

Author: steve miller I enjoy data prep munging for analyses with computational platforms such as R, Python-Pandas, Julia, Apache Spark, and even relational databases. The […] Read More