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    • Home
    • App Domain
      • Legal
      • Healthcare
    • NLP
    • Computer Vision
    • Regression
    • AI Frontiers
    • About
    • Contact Us
  • Home
  • App Domain
    • Legal
    • Healthcare
  • NLP
  • Computer Vision
  • Regression
  • AI Frontiers
  • About
  • Contact Us

ML lifecycle architecture

source

A Use Case

Problem: Goods Price Prediction

Global Trade Data provides global import/export data and analytics.  They need predict future price of a specific product, such as shoes.  Many factors can affect the price of shoes, such as related raw materials, electricity cost, tariff, exchange rate, etc.

1st solution

Dimension reduction; Non-linear regression (SVM, MLP)

2nd solution, 2015

The innate flaw of the first solution was the temporal dependencies cannot be captured. LSTM/RNN was used to solve this problem.

3rd (current) solution, 2020

The revolutionary attention/transformer architecture replaced LSTM and improved the accuracy of prediction.

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