Published 6/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 751.16 MB | Duration: 1h 4m
What is subjectivity bias and how to measure it?
What you’ll learn
Define and understand the potential negative impact of Subjectivity bias
Measure the kappa statistic
Test the relevant hypothesis about the kappa statistic
Determine the minimum sample size needed for a Powerful test
Requirements
Basic statistics, basic machine learning, basic Python
Description
Modeling data sets contain many biases, but some are less obvious than others. In this course, you will learn how to identify and measure Subjectivity bias, which often times appears in various use cases that deal with both structured and unstructured data. This type of bias, also known as ‘Observer’ bias, appears in such applications as Sentiment analysis and Survey responses. In the first case, the sentiment of a given entity is prone to subjectivity of the person reading the content. In the second case, the person or persons filling out the survey might also use their subjective judgement without hard evidence to support their answer to a particular question. Once the subjective responses are made in both of the above situations, they are often used as inputs to predictive models, i.e. as either dependent or independent variables. The lack of objective accuracy in such modeling data is what becomes known as ‘Subjectivity’ or ‘Observer’ bias. What is the potential damage of such bias to the model outcome/predictions? Is there any way such bias can be measured beforehand to mitigate its impact? What are some of the assumptions and limitations that need to be considered when handling this type of bias in real-life applications? These are the questions that will be answered in this course from both practical and theoretical perspectives.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Introduction to the Kappa statistic
Lecture 2 Introduction to the Kappa statistic
Section 3: Statistical distribution of the Kappa statistic
Lecture 3 Kappa distribution
Section 4: Kappa Experiment: Hypothesis test
Lecture 4 Hypothesis Test for the Kappa experiment
Section 5: Kappa experiment minimum sample size calculations
Lecture 5 Minimum sample size calculation
Section 6: Conclusion and Next steps
Lecture 6 Conclusion
Beginner/Intermediate/Advanced data scientists who want to better understand subjectivity bias before modeling
Homepage
https://www.udemy.com/course/hidden-bias-in-modeling-data/
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