Category: Data Science

Author: mtdearing Enterprises are struggling to launch machine learning models that encapsulate the optimization of business processes. These are now the essential components of data-driven […] Read More

Author: Bill Schmarzo Trying to gain organizational alignment on the best path forward on a critical product or organizational decision is overly difficult.  Product-centric, inside-out […] Read More

Author: Gregory PS Editor Also Exploratory Data Analysis for Natural Language Processing: A Complete Guide to Python Tools; A professor with 20 year experience to […] Read More

Author: mtdearing Understanding the real business processes of a company through analysis of its information systems can guide digital transformations. Here, the top 10 process […] Read More

Author: William Vorhies Summary:  High stakes models like those that allocate scarce resources to competing hospitals are headline news.  New thinking contrasting model-based versus model-free […] Read More

Author: Matt Mayo Editor As anticipation grows for Predictive Analytics World’s virtual conferences (PAW for Industry 4.0, PAW for Healthcare and Deep Learning World on […] Read More

Author: /u/datascience-bot Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data […] 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 The KNIME Summits, in spring and fall, have been taking place since 2008 in Europe and the US. In light of […] Read More

Author: Gregory PS Editor This online course is available – for free – to anyone interested in building practical skills in using data to solve […] Read More