Meanwhile, Governments are using to data to help guide policy decisions, making this a prime area for social scientists with an interest in quantitative methods. This course aims to provide an ...

Descriptions MSIT 431: Introduction to Statistics & Data Analysis VIEW ALL COURSE TIMES AND SESSIONS Description The purpose of the course is to introduce the statistical methods that are critical in ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

Empirical Bayes methods have been shown to be powerful data-analysis tools in recent years. The empirical Bayes model is much richer than either the classical or the ordinary Bayes model and often ...

Tutorial Paper Open access Published: 29 July 2003 Survival Analysis Part II: Multivariate data analysis – an introduction to concepts and methods M J Bradburn, T G Clark, S B Love & D G Altman ...

DTSA 5511 Introduction to Deep Learning Same as CSCA 5642 Specialization: Machine Learning Instructor: Geena Kim, Assistant Teaching Professor Prior knowledge needed: Calculus, Linear algebra, Python ...

Big data, small data, internal, external, experimental, observational — everywhere we look, information is being captured, quantified, and used to make business decisions.