Author: Jason Brownlee Generative Adversarial Networks, or GANs for short, were first described in the 2014 paper by Ian Goodfellow, et al. titled “Generative Adversarial […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: Researchers Use Machine Learning To Predict Bleeding During Coronary Procedures Texas A&M University Bringing together man and machine, a team of researchers is studying how […] 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: Gregory PS Editor Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need […] Read More
Author: Certificate program develops skills in machine learning Cornell Chronicle Cornell has launched an online certificate program in machine learning, available through eCornell, to teach the […] Read More
Author: Laboratory for Nuclear Science A new machine learning technology tested by an international team of scientists including MIT Assistant Professor Philip Harris and postdoc […] Read More
Author: Westmead team with Google’s Mel Silva and Australian Minister for Industry, Science and Technology, Hon Karen Andrews MP Heart disease and cardiovascular health are […] 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: Jason Brownlee Generative Adversarial Networks, or GANs for short, are effective at generating large high-quality images. Most improvement has been made to discriminator models […] Read More
Author: mtdearing As a data scientist, you are in high demand. So, how can you increase your marketability even more? Check out these current trends […] Read More