Using document understanding ML with Quantiphi
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Google Cloud Platform1.18 млн
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29.03.20 – 3 9095:43Популярные
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177 дней – 2 36343:48Опубликовано 29 марта 2020, 16:00
In this episode of Stack Chat, Lorin Price speaks with Harshit Malik - a senior ML engineer at Quantiphi - about how their company is helping build a solution to ingest and use ML on legacy documents with QDox. Specifically, they speak to how Qdox uses GCP tools - like Google Cloud Storage, Cloud Vision API, App Engine, and BigQuery - to create an active learning pipeline which ensures continuous improvement of their ML models, enabling QDox to convert legacy documents into usable data.
Reach out to the QDox team at Quantiphi for information or questions → qdox@quantiphi.com
Watch other episodes of Stack Chat → goo.gle/2RXI5wz
For more content like this, subscribe to the GCP Channel →
goo.gle/34tknuO
Product: Google Cloud Storage, Cloud Vision API, App Engine; fullname: Lorin Price, Harshit Malik;
#StackChat
Reach out to the QDox team at Quantiphi for information or questions → qdox@quantiphi.com
Watch other episodes of Stack Chat → goo.gle/2RXI5wz
For more content like this, subscribe to the GCP Channel →
goo.gle/34tknuO
Product: Google Cloud Storage, Cloud Vision API, App Engine; fullname: Lorin Price, Harshit Malik;
#StackChat
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