Rezultati pretraživanja
  1. Excited to discover 's updates to the annotation menu, now ordered alphabetically and with a shiny new scroll bar ✨🤩

  2. 22. tra 2019.

    How much do we actually need? "Estimates of the amount of training data required for vary widely, from hundreds to tens of thousands of manually classified examples, depending on the model, study goals and task complexity."

  3. 23. pro 2019.

    Lastly, 🎅took care of his trusted 🦌🦌 by using to prepare a state-of-the-art model that transforms his 🛷 into an automated vehicle, capable to face any ❄️🌎. Read more about it . And from us happy holidays!

  4. 6. sij

    Happy 2020 from us ! May the new year bring you lots of clean to fuel and accelerate your projects. May become a key driver of your business, your neural networks and your compute power grow limitlessly!

  5. 31. srp 2019.
  6. 26. srp 2019.
  7. 31. srp 2019.

    As the use of grows (3-fold in 1 year), so does demand for services that can help AI systems understand what they are seeing and hearing; the need for has dramatically increased in order to remove the bottleneck in developing AI solutions.

  8. 24. srp 2018.

    Before labeling data, throw away what you don't need. For example the top 20 comments in Reddit's AskReddit. 7/20 are automated messages, 13/20 are people racing to say the same thing. Why waste your labeling budget and your teams time?

  9. 11. lis 2018.
    Prikaži ovu nit
  10. An exciting time to be revisiting the value of semi-supervised learning in practical settings!

  11. 3. velj 2016.

    making sentiment analysis easier than ever! You've gotta love

  12. 7. ruj 2018.
  13. 30. stu 2018.
  14. 21. ruj 2018.
  15. 10. srp 2018.

    Top internet companies implement techniques to monitor app utilization and produce high quality that they ultimately transform in ML models. Images by, and special thanks to @DaniaWijarnako.

  16. 8. lip 2018.
  17. 31. srp 2018.

    How a company saved millions on image annotation by labeling text

  18. 13. ožu 2018.

    ML data annotations made super easy. | Just upload data, invite your team and build training/evaluation dataset in hours.

  19. 17. pro 2018.
  20. 9. ruj 2019.

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