Category: Data Science

Author: Gregory Piatetsky As a media partner for O’Reilly, KDnuggets is pleased to offer to our readers a chance to win a 2-day Bronze Conference […] Read More

Author: Jorge Castanon Photo by chuttersnap on Unsplash Machine learning is a hot topic in research and industry, with new methodologies developed all the time. The speed and […] Read More

Author: mtdearing With the pervasive importance of NLP in so many of today’s applications of deep learning, find out how advanced translation techniques can be […] Read More

Author: Bill Schmarzo Imagine an advanced fighter aircraft is patrolling a hostile conflict area and a bogie suddenly appears on radar accelerating aggressively at them. The […] Read More

Author: Gregory PS Editor Algorithms Notes for Professionals – Free Book; 10 simple Linux tips which save 50% of my time in the command line; […] Read More

Author: William Vorhies Summary:  True prescriptive analytics requires the use of real optimization techniques that very few applications actually use.  Here’s a refresher on optimization […] Read More

Author: mtdearing With substantial changes coming with TensorFlow 2.0, and the release candidate version now available, learn more in this guide about the major updates […] Read More

Author: Stephanie Glen ANOVA is a test to see if there are differences between groups. Put simply, “One-way” or “two-way” refers to the number of independent […] Read More

Author: /u/AutoModerator 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: Matt Mayo Editor Visually-displayed data is much more accessible, and it’s criticalto promptly identify the weaknesses of an organization, accurately forecasttrading volumes and sale […] Read More