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 ...
Princeton University

Introduction to Data Analysis with R

This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...
CU Boulder News & Events

A1. Introduction to OpenMx Part 1: The basics and conducting regression

This video will introduce students to twin modeling using R and OpenMx. By the end of the video, students will be able to (1) recognize the major steps involved in an OpenMx model and (2) translate ...
lse

Regression and Generalised Linear Models

This course is compulsory on the BSc in Financial Mathematics and Statistics and BSc in Statistics with Finance. This course is available on the BSc in Actuarial Science, BSc in Business Mathematics ...
Harvard Business School

Introduction to Regression Analysis with Lotus 1-2-3 and Regress

Bell, David E. "Introduction to Regression Analysis with Lotus 1-2-3 and Regress." Harvard Business School Case 189-110, November 1988. (Revised June 1989.) ...
lse

Regression and Generalised Linear Models

This course is compulsory on the BSc in Statistics with Finance. This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics and BSc in Mathematics with ...