Tag: Yeng Miller-Chang

On the Interpretation of Vaccine Efficacy Rates

Mary Pat Campbell

Link: https://www.yengmillerchang.com/post/on-the-interpretation-of-vaccine-efficacy-rates/

Graphic:

Excerpt:

With COVID-19 vaccines now being widely available in the U.S., I’ve seen various interpretations of vaccine efficacy rates. As one example, the paper disseminating the study on the efficacy of BioNTech and Pfizer’s vaccine BNT162b2 states in its results section:

BNT162b2 was 95% effective in preventing Covid-19

The intent of this post is to clarify the interpretations of such numbers.

Author(s): Yeng Miller-Chang

Publication Date: 15 July 2021

Publication Site: Math, Music Occasionally, and Stats

Machine Learning: The Mathematics of Support Vector Machines – Part 1

Mary Pat Campbell

Link: https://www.yengmillerchang.com/post/svm-lin-sep-part-1/

Graphic:

Excerpt:

Introduction

The purpose of this post is to discuss the mathematics of support vector machines (SVMs) in detail, in the case of linear separability.

Background

SVMs are a tool for classification. The idea is that we want to find two lines (linear equations) so that a given set of points are linearly separable according to a binary classifier, coded as ±1, assuming such lines exist. These lines are given by the black lines given below.

Author(s): Yeng Miller-Chang

Publication Date: 6 August 2021

Publication Site: Math, Music Occasionally, and Stats