Author: Gregory PS Editor The positions require research and teaching expertise in AI/Data Science, or related areas including Data Extraction, Data Visualization, Machine Learning, and […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: Frank Raulf Normally, it is better to avoid loops in R. But for highly individual tasks a vectorization is not always possible. Hence, a […] Read More
Author: Jason Brownlee Generative adversarial networks, or GANs, are effective at generating high-quality synthetic images. A limitation of GANs is that the are only capable […] Read More
Author: In building educational resources for teachers and students, we’ve spent a lot of time talking to them about challenges they face and how we […] Read More
Author: Gregory PS Editor Deep Learning Cheat Sheets; 12 NLP Researchers, Practitioners & Innovators You Should Be Following; Knowing Your Neighbours: Machine Learning on Graphs. […] Read More
Author: ajit jaokar Background Containerize your Apps with Docker and Kubernetes is an excellent free book from Gabriel N. Schenker You can download the whole […] Read More
Author: AI And Machine Learning Are Powering Next Generation Media Operations Forbes On any given day we can find a story in the media about technology […] 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 Umea University, Sweden is seeking a PhD-student in computational science with focus on chemistry. The position is for 4 years of […] Read More
Author: Jason Brownlee The progressive growing generative adversarial network is an approach for training a deep convolutional neural network model for generating synthetic images. It […] Read More