Stable 27 - Your Training Data is Bad and You Should Feel Bad
Offered By: YouTube
Course Description
Overview
Explore the critical issue of poor training data in machine learning through this 22-minute conference talk from Derbycon 2018. Delve into the motivation behind the research, methodologies employed, and key findings regarding classifier performance. Examine tweet-only and user-only features, and understand their impact on model accuracy. Gain insights into future research directions and participate in a thought-provoking discussion on improving data quality for more reliable machine learning outcomes.
Syllabus
Intro
MOTIVATION
QUESTION
METHODS (CONT.)
RESULTS: CLASSIFIER PERFORMANCE
FINDING #2
FINDING #3
BOTTOM LINE
FUTURE RESEARCH
DISCUSSION
FEATURES: TWEET-ONLY
FEATURES: USER-ONLY
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