Category: Machine Learning

Author: Kylie Foy | Lincoln Laboratory Last October, the White House released the National Action Plan to Combat Human Trafficking. The plan was motivated, in […] Read More

Author: Jason Brownlee Weighted average ensembles assume that some models in the ensemble have more skill than others and give them more contribution when making […] Read More

Author: Elizabeth A. Thomson | Materials Research Laboratory In work that could someday turn cell phones into sensors capable of detecting viruses and other minuscule […] Read More

Author: Throughout history, from photography to video to hypertext, artists have pushed the expressive limits of new technologies, and artificial intelligence is no exception. At […] Read More

Author: Jason Brownlee Gradient descent is an optimization algorithm that follows the negative gradient of an objective function in order to locate the minimum of […] Read More

Author: /u/ML_WAYR_bot This is a place to share machine learning research papers, journals, and articles that you’re reading this week. If it relates to what […] Read More

Author: Jason Brownlee Stacked generalization, or stacking, may be a less popular machine learning ensemble given that it describes a framework more than a specific […] Read More

Author: A couple of years ago, Google AI for Social Good’s Bioacoustics team created a ML model that helps the scientific community detect the presence […] Read More

Author: Daniel Ackerman | MIT News Office Isaac Newton may have met his match. For centuries, engineers have relied on physical laws — developed by […] Read More

Author: The book that led to my visit to Google. When I first visited Google back in 2002, I was a computer science professor at […] Read More