Key Takeaways on Machine Learning

Key Takeaways on Machine Learning

In a recent interview, Benjamin Recht (an associate professor in computer science, electrical engineering, and statistics at UC Berkeley) remarked that “We’re making great progress in machine learning systems, and we’re trying to push their tenets into many different kinds of production systems. But we’re doing so with limited knowledge about how well these things are going to perform in the wild.” David Beyer, the interviewer, asked Professor Recht a number of questions about Machine Learning in general, and specifically about a recent Machine Learning paper published by Recht, and two control theorists Andy Packard and Laurent Lessard. Recht commented that “the paper with Laurent and Andy noted that all of the algorithms we popularly deploy in machine learning look like classic dynamical systems that control theorists have studied since…


Link to Full Article: Key Takeaways on Machine Learning