Category: Data Science

Author: Gregory PS Editor Watch the evolution of the top 10 most popular data science tools based on KDnuggets software polls from 2000 to 2019. […] Read More

Author: Ghida Ibrahim Given the scale of its impact and the kind of alteration that it brought into our lives, COVID19 is one of the […] Read More

Author: Matt Mayo Editor Also: Speed up your Numpy and Pandas with NumExpr package; 5 Books That Will Teach You the Math Behind Machine Learning; […] Read More

Author: Andrew Vo © 2020 by Radna Intellectual Ventures, LLC. In Sweden, there’s something called the Allemansrätten, which literally translates to “Everyman’s Right.” Allemansrätten gives everyone […] Read More

Author: Matt Mayo Editor This article investigates TensorFlow components for building a toolset to make modeling evaluation more efficient. Specifically, TensorFlow Datasets (TFDS) and TensorBoard […] Read More

Author: Betsy Romeri External Data Sources Are More Critical Than Ever in Supply Chain Management. Your company’s historical data are not contextual enough for our […] Read More

Author: Derrick Mwiti In this piece, we’ll see how we can use Dask to work with large datasets on our local machines. Go to Source

Author: /u/Omega037 There have been quite a few changes in the subreddit over the past couple of years, both behind the scenes and more visibly. […] 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 This work explores how genetic relationships can be exploited alongside genomic information to predict genetic traits with the aid of graph […] Read More