Category: Machine Learning

Author: Jason Brownlee The bootstrap method is a resampling technique used to estimate statistics on a population by sampling a dataset with replacement. It can […] Read More

Author: Larry Hardesty | MIT News Office In the field of self-driving cars, algorithms for controlling lane changes are an important topic of study. But […] Read More

Author: Jason Brownlee Cross-validation is a statistical method used to estimate the skill of machine learning models. It is commonly used in applied machine learning […] Read More

Author: Jason Brownlee A large portion of the field of statistics is concerned with methods that assume a Gaussian distribution: the familiar bell curve. If […] Read More

Author: /u/MTGTraner submitted by /u/MTGTraner [link] [comments] Go to Source

Author: Jason Brownlee Parametric statistical methods often mean those methods that assume the data samples have a Gaussian distribution. in applied machine learning, we need […] Read More

Author: Stefanie Koperniak | Department of Chemical Engineering MIT continues its efforts to transform the process of drug design and manufacturing with a new MIT-industry […] Read More

Author: From Big Data projects like Strayer University’s student support system to AI projects like Carnegie Mellon’s socially aware robot, researchers are discovering that cloud […] Read More

Author: Jason Brownlee In applied machine learning, we often need to determine whether two data samples have the same or different distributions. We can answer […] Read More

Author: Zygmunt Z. Go to Source