Machine Learning Deep Advances in Generative Modeling March 21, 2016 by adamdev Earlier this month, Alec Radford — indico’s Head of Research — led a talk at Boston ML Forum. He presented an overview of recent work in generative modeling, including research that he, Luke Metz, and Soumith Chintala (FAIR) released in November 2015: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. Video and slides below. […] Read more Ā»
Business Data Science Tutorials A Fast Method to Stream Data from Big Data Sources March 14, 2016 / October 9, 2025 by adamdev Maybe you’re training a machine learning model on a really big dataset. Perhaps you’ve got a big database dump and you want to extract some information. Or maybe youāre crawling web scrapes or mining text files. Modern computers are really quite powerful for processing streams of data. You shouldn’t have to resort to a Hadoop […] Read more Ā»
Machine Learning Tutorials Getting Started with MXNet March 7, 2016 / October 9, 2025 by adamdev So many other frameworks exist, why MXNet? MXNet is a modern interpretation and rewrite of a number of ideas being talked about in the deep learning infrastructure. It’s designed from the ground up to work well with multiple GPUs and multiple computers. When doing multi-device work in other frameworks, the end user frequently has to […] Read more Ā»
