February 6, 2018
What is distributed machine learning? Generally speaking, distributed machine learning (DML) is an interdisciplinary domain that involves almost every corner of computer science — theoretical areas (such as statistics, learning theory, and optimization), algorithms, core machine learning (deep learning, graphical models, kernel methods, etc), and even distributed and storage systems. There are countless problems to be explored and studied in each of these sub-domains. On the ... Intro to Distributed Deep Learning Systems