Category: Data Science

Author: Matt Mayo Editor Also: Top KDnuggets tweets, Sep 18-24: Python Libraries for Interpretable Machine Learning; Scikit-Learn: A silver bullet for basic ML; Automatic Version […] Read More

Author: Vincent Granville I have used synthetic data sets many times for simulation purposes, most recently in my articles Six degrees of Separations between any […] Read More

Author: mtdearing Data science education in Europe has been reevaluated and new recommendations are leading the way to the next generation of data science Master’s […] Read More

Author: Lewis Wynne-Jones Yep. And it’s a big one. There is a general consensus that when we talk about open data we are referring to any […] Read More

Author: Matt Mayo Editor In advance of the Data Science Salon taking place in Seattle on Oct 17, we asked our speakers to shed some […] Read More

Author: ajit jaokar     Introduction   Co-relation does not equal causation – is a mantra drilled into a Data Scientist from an early age […] 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 This live webinar, Oct 2 2019, will instruct data scientists and machine learning engineers how to build manage and deploy auto-adaptive […] Read More

Author: Matt Mayo Editor Join the Crunch Data Conference in Budapest, Oct 16-18, with stellar speakers from companies like Facebook, Netflix and LinkedIn. Use the […] Read More