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ML System Design

ML System Design

May 17, 20251 min read

The ideas here were distilled from reading Chip Huyen’s Designing Machine Learning Systems.

## Overview
  • [[pickle vs joblib]]
  • Data Drift
  • Data Engineering
    • Data Flow
    • Data Formats
    • Data Models
    • Data Processing Paradigms
    • Data Storage Locations
  • Debugging ML Models
  • Feature Engineering
    • Data Leakage
    • Feature Selection Best Practices
  • Good vs Useful ML Systems
  • ML Objectives
  • ML Performance Baselines
  • ML System Requirements
  • ML UX Design
  • Model Calibration
  • Model Evaluation
  • Model QA
  • Random Baseline Thought Experiment
  • Recipes for Building ML models

15 items under this folder.

  • May 17, 2025

    Data Engineering

    • May 17, 2025

      Feature Engineering

      • May 17, 2025

        Data Drift

        • May 17, 2025

          Debugging ML Models

          • May 17, 2025

            Good vs Useful ML Systems

            • May 17, 2025

              ML Objectives

              • May 17, 2025

                ML Performance Baselines

                • May 17, 2025

                  ML System Requirements

                  • May 17, 2025

                    ML UX Design

                    • May 17, 2025

                      Model Calibration

                      • May 17, 2025

                        Model Evaluation

                        • May 17, 2025

                          Model QA

                          • May 17, 2025

                            Random Baseline Thought Experiment

                            • May 17, 2025

                              Recipes for Building ML models

                              • May 17, 2025

                                `pickle` vs `joblib`


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