Editorial Summary :

Landing Lenz is an open-source ML production system . It is based on a speech recognition system with different factors . All are iterative processes including error analysis, examination of tags and proposal of new tags . The next tutorial shows the example of metrics for each tag in the ML production life cycle . For example: Multilabel classification contains different tags to put out errors to improve the algorithm. Such as speech recognition Car Noise. Figure-6 shows more details below. Next tutorial shows metrics for the each tag .

Key Highlights :

  • Landing Lenz is a self-recurdering ML software system .
  • It is a tool for speech recognition software .
  • It uses different algorithms to identify errors and improve the algorithm .

The editorial is based on the content sourced from medium.com

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