A Developer's Guide to Launching a Machine Learning Startup

This post is part of an insideHPC guide that explores how to successfully launch a machine learning startup. The complete report, available here, covers how to get started, how to choose a framework, how to decide what applications and technology to use, and more. While artificial intelligence (AI), machine learning and deep learning are often thought of as being interchangeable, they do in fact relate to very different concepts. It all began in the 1950s with AI and the idea that a computer could be made to simulate human learning and intelligence. A subclass of that is machine learning, whereby a computer can take large amounts of data and use it begin to recognize patterns, make predictions on new data, and essentially'learn' for itself.