Author: Jason Brownlee The choice of a statistical hypothesis test is a challenging open problem for interpreting machine learning results. In his widely cited 1998 […] Read More
Category: Machine Learning
Latest Machine Learning News
Author: Rob Matheson | MIT News Office MIT Media Lab researchers have developed a machine-learning model that takes computers a step closer to interpreting our […] Read More
Author: Jason Brownlee What neural network is appropriate for your predictive modeling problem? It can be difficult for a beginner to the field of deep […] Read More
Author: Jason Brownlee Stochastic gradient descent is a learning algorithm that has a number of hyperparameters. Two hyperparameters that often confuse beginners are the batch […] Read More
Author: Zygmunt Z. Go to Source
Author: Jason Brownlee A large part of applied machine learning is about running controlled experiments to discover what algorithm or algorithm configuration to use on […] Read More
Author: Melanie Miller Kaufman | Department of Chemical Engineering The U.S. Defense Advanced Research Projects Agency (DARPA) has honored Connor Coley, who is currently pursuing his […] Read More
Author: Jason Brownlee A foundation in statistics is required to be effective as a machine learning practitioner. The book “All of Statistics” was written specifically […] Read More
Author: Janine Liberty | MIT Media Lab The atmosphere of a given space — the light, sounds, and sensorial qualities that make it distinct from […] Read More
Author: Jason Brownlee The statistical power of a hypothesis test is the probability of detecting an effect, if there is a true effect present to […] Read More