Balancing Speed and Accuracy in Model Development

Balancing Speed and Accuracy in Model Development

Conf42 via YouTube Direct link

strategic importance of the balance

10 of 28

10 of 28

strategic importance of the balance

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Balancing Speed and Accuracy in Model Development

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  1. 1 intro
  2. 2 preamble
  3. 3 data scientist at about & render, london, uk
  4. 4 today's talk
  5. 5 the essence of balance: speed vs accuracy
  6. 6 factors impacting accuracy and speed
  7. 7 the business impact of speed and accuracy
  8. 8 real-world examples
  9. 9 balancing act: speed, accuracy, and cost
  10. 10 strategic importance of the balance
  11. 11 how to understand business objectives
  12. 12 scenarios for ml-models
  13. 13 optimisation strategies
  14. 14 training data quality and quantity
  15. 15 what is a good dataset?
  16. 16 what is a bad dataset?
  17. 17 data pre-processing
  18. 18 how to find inefficiencies in data pre-processing?
  19. 19 yappi
  20. 20 most common inefficiencies
  21. 21 feature selection
  22. 22 shap values for feature selection
  23. 23 model selection
  24. 24 xgboost
  25. 25 lightgbm
  26. 26 how to choose the best option
  27. 27 a quick recap
  28. 28 thank you for your time!

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