There are many techniques that have been developed in data analytics. In this short course, we will focus on classification, or supervised learning techniques. These approaches include linear ...

The Data Science Lab. Neural Regression Classification Using PyTorch: Preparing Data. Dr. James McCaffrey of Microsoft Research presents the first in a series of four machine learning articles that ...

Why Data Analytics and Machine ... gain hands-on experience using Excel, as well as various statistical techniques such as sampling, inference, and regression. Course Number: 22:960 ... The students ...

When these performances were compared to the logistic regression model, 3,386 samples were used for the analysis and 2,694 of these were associated with severe outcomes, and 692 associated with ...

Understanding one of the most important types of data analysis. by Amy Gallo You probably know by now that whenever possible you should be making data-driven decisions at work. But do you know how ...

In the validation data set, specificity and sensitivity were 31.3% and 96.6%, respectively. Cancers that were missed by the CART were Gleason score 6 or less in 93.4% of cases. Receiver operator ...

Michael Vogt, Oliver Linton, Classification of non-parametric regression functions in longitudinal data models, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 79, ...

P. Lahiri, Michael D. Larsen, Regression Analysis with Linked Data, Journal of the American Statistical Association, Vol. 100, No. 469 (Mar., 2005), pp. 222-230 Free online reading for over 10 million ...