mccormick.northwestern.edu

IEMS 301: Introduction to Statistical Learning

A prior course in statistics at the level of IEMS 304; A course in matrix analysis; Proficiency in programming as coding will be a significant part of the class. This course examines a modern ...
CU Boulder News & Events

An Introduction to Statistical Analysis

The first of the Spring 2010 LISA Short Courses was “An Introduction to Statistical Analysis,” by Dr. Eric Vance, the director of LISA (Laboratory for Interdisciplinary Statistical Analysis). We ...
Campus Technology

Lumen Learning Initiative to Focus on Equity-Centered Courseware

Open education company Lumen Learning has announced a new initiative aimed at creating and implementing equitable course materials that will boost student success. The project will begin with the ...
CU Boulder News & Events

DTSA 5509 Introduction to Machine Learning: Supervised Learning

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 ...
Rochester Institute of Technology

RIT professor explores the art and science of statistical machine learning

Statistical machine learning is at the core of modern-day advances in artificial intelligence, but a Rochester Institute of Technology professor argues that applying it correctly requires equal parts ...
lse

Machine Learning and Data Mining

This course is compulsory on the MSc in Data Science. This course is available on the MPA in Data Science for Public Policy, MSc in Applied Social Data Science, MSc in Econometrics and Mathematical ...
JSTOR Daily

Causal Models and Learning from Data: Integrating Causal Modeling and Statistical Estimation

The practice of epidemiology requires asking causal questions. Formal frameworks for causal inference developed over the past decades have the potential to improve the rigor of this process. However, ...