Data Management - Full Stack Deep Learning - March 2019

Data Management - Full Stack Deep Learning - March 2019

The Full Stack via YouTube Direct link

Introduction

1 of 17

1 of 17

Introduction

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Data Management - Full Stack Deep Learning - March 2019

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  1. 1 Introduction
  2. 2 Data Flywheel: an initial manually labeled dataset enables self- improvement with user data
  3. 3 Roadmap
  4. 4 Training the annotators is crucial
  5. 5 Sources of Labor
  6. 6 Service Companies
  7. 7 Software
  8. 8 Data Storage
  9. 9 Database scalable storage and retrieval of structured data
  10. 10 Data Lake
  11. 11 What goes where
  12. 12 Data Versioning
  13. 13 Level 2
  14. 14 Motivational Example We have to train a photo popularity predictor every night.
  15. 15 Task Dependencies
  16. 16 Makefile limitations
  17. 17 Luigi and Airflow

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