Author: Matthew Dearing Ready to move your systems to a cloud vendor or just learning more about big data services? This overview will help you […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: steve miller I recently downloaded a 5 year Public Use Microsample (PUMS) from the latest release of the American Community Survey (ACS) census data. The data […] Read More
Author: Machine Learning “Very Easy to Abuse” The Scientist Microbiologist Nick Loman talks about the power of artificial intelligence and the best way to use it. […] 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: Vincent Granville This book is intended for busy professionals working with data of any kind: engineers, BI analysts, statisticians, operations research, AI and machine […] Read More
Author: Jason Brownlee Generative Adversarial Networks, or GANs, are an architecture for training generative models, such as deep convolutional neural networks for generating images. The […] Read More
Author: Matt Mayo Editor The Yale School of Management seeks applicants in the field of quantitative marketing for a tenure-track faculty position at the rank […] Read More
Author: Matthew Dearing How can organizations and individuals promote Data Literacy? Data literacy is all about critical thinking, so the time-tested method of Socratic questioning […] Read More
Author: Andrea Manero-Bastin This article was written by Marek Galovič. In this article I want to give you an overview of a RNN model I […] Read More
Author: Jason Brownlee Generative Adversarial Networks, or GANs, are challenging to train. This is because the architecture involves both a generator and a discriminator model […] Read More