Author: Matt Mayo Editor Chris Wylie, the whistleblower who exposed Cambridge Analytica, will headline Big Data LDN 2019 programme, along with over 100 speakers at […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: William Vorhies Summary: The world of healthcare may look like the most fertile field for AI/ML apps but in practice it’s fraught with barriers. […] 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: /u/MTGTraner Hi all, /r/machinelearning is growing rampantly, with over a thousand new subscribers every day. As our community grows, it is important to have […] Read More
Author: Jason Brownlee Progressive Growing GAN is an extension to the GAN training process that allows for the stable training of generator models that can […] Read More
Author: 10 Ways Machine Learning Is Revolutionizing Manufacturing In 2019 Forbes The leading growth strategy for manufacturers in 2019 is improving shop floor productivity by investing […] Read More
Author: Matt Mayo Editor The position requires a passion for research, a proven research track record in computer vision, an ability to work independently as […] Read More
Author: mtdearing Graph Machine Learning uses the network structure of the underlying data to improve predictive outcomes. Learn how to use this modern machine learning […] Read More
Author: Sean Owen Originally published on the Databricks blog with accompanying notebook. StackOverflow’s annual developer survey concluded earlier this year, and they have graciously published […] Read More
Author: Jason Brownlee The Cycle Generative Adversarial Network, or CycleGAN, is an approach to training a deep convolutional neural network for image-to-image translation tasks. Unlike […] Read More