Category: Data Science

Author: steve miller I recently came across an interesting account by a practical data scientist on how to munge 25 TB of data. What caught my […] Read More

Author: Gregory PS Editor This white paper provides the first-ever standard for managing risk in AI and ML, focusing on both practical processes and technical […] Read More

Author: ajit jaokar The explanation of Logistic Regression as a Generalized Linear Model and use as a classifier is often confusing. In this article, I […] Read More

Author: Matt Mayo Editor Whether it’s demand forecasting, supply chain management, or any other application, getting it right requires balancing the need for performance with […] Read More

Author: Vincent Granville I am presenting at the upcoming NISS (National Institute of Statistical Sciences) webinar on September 27. This was my first employer in […] Read More

Author: Matt Mayo Editor Also: Cartoon: Unsupervised #MachineLearning?; Cartoon: Unsupervised Machine Learning ? How to Become More Marketable as a Data Scientist; Ensemble Methods for […] Read More

Author: Vincent Granville Guest blog post by Nabanita Roy. Introduction: The art and science of discriminating between writing styles of authors by identifying the characteristics of […] Read More

Author: Gregory Piatetsky We identify two main groups of Data Science skills: A: 13 core, stable skills that most respondents have and B: a group […] Read More

Author: Matt Mayo Editor The UC Center for Business Analytics will present the Data Science Symposium 2019 on Oct 10 & 11, featuring 3 keynote […] 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