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Holistic Health Metrics for ML-Based Products

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Machine Learning Courses Data Science Courses Quality Assurance Courses Product Development Courses Performance Evaluation Courses

Course Description

Overview

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Discover how to implement a comprehensive metrics system for machine learning-based products in this insightful conference talk by Lina Palianytsia, Lead Machine Learning Engineer at GlobalLogic. Learn the importance of holistic health metrics in ensuring system accuracy, particularly in critical domains like finance and healthcare. Explore where and when to collect metrics at various levels, including data, model, post-model, and business. Gain valuable insights on making metrics easily accessible, encouraging adoption among colleagues, and customizing metrics to suit specific needs. Go beyond model accuracy and understand how to develop a robust metrics framework that enhances product reliability and provides peace of mind for developers and stakeholders alike.

Syllabus

Lina Palianytsia - Metrics: Holistic Health Metrics of ML-Based Product


Taught by

Toronto Machine Learning Series (TMLS)

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