Category: Data Science

Author: Vincent Granville By Amita Kapoor and Ajit Jaokar. In this book, we introduce coding with tensorflow 2.0. We show how to develop with tensorflow […] Read More

Author: mtdearing Find out what was presented at the 6th annual Deep Learning Summit in London where industry leaders, academics, researchers, and innovative startups presenting […] Read More

Author: Matt Mayo Editor You won’t want to miss the opportunity to learn about the future of deep learning first-hand at ODSC West in San […] Read More

Author: Capri Granville By Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. Dated June […] Read More

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