Category: Data Science

Author: Vincent Granville Now published. Enterprise AI: An applications perspective takes a use case driven approach to understand the deployment of AI in the Enterprise. […] Read More

Author: Gregory PS Editor Planning and implementing new data and analytics initiatives can be overwhelming. Join us in Orlando for in-depth training that will give […] Read More

Author: Vincent Granville This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, […] Read More

Author: Gregory Piatetsky The poll results show amazing consistency to past years, with median answers still in 10-100 gigabytes range. Really Big Data Scientists (100 […] Read More

Author: Comments Go to Source

Author: Vincent Granville Here are a few off-the-beaten-path problems at the intersection of computer science (algorithms), probability, statistical science, set theory, and number theory. While […] 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 While there’s no doubt that the quality of the results in style transfer is outstanding, many were left with feelings that […] Read More

Author: Vincent Granville You will find here a few tables of random digits, used for simulation purposes and/or testing or integration in statistical, mathematical, and […] Read More

Author: Matt Mayo Editor No more jumping between applications. Mode Studio combines a SQL editor, Python and R notebooks, and a visualization builder in one […] Read More