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Content by Alberto Andreotti

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Alberto Andreotti is a senior data scientist on the Spark NLP team at John Snow Labs, where he implements state-of-the-art NLP algorithms on top of Spark. He has a decade of experience working for companies and as a consultant, specializing in the field of machine learning. Alberto has written lots of low-level code in C/C++ and was an early Scala enthusiast and developer. A lifelong learner, he holds degrees in engineering and computer science and is working on a third in AI. Alberto was born in Argentina. He enjoys the outdoors, particularly hiking and camping in the mountains of Argentina.

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Lights, camera, action! Welcome to the future of information extraction with Visual NLP by John Snow Labs, where “OCR-Free” multi-modal AI models are stealing the show. Imagine a world where...

This release comes with new models for Handwritten Text Recognition, Spark 3.2 support, bug fixes, and notebook examples. Added to the ImageTextDetectorV2 New parameter 'mergeIntersects': merge bounding boxes corresponding to...

We are glad to announce that Spark NLP for Healthcare 3.1.2 has been released! This release comes with new features, new models, bug fixes, and examples. Highlights Support for Fine-tuning...

Today we are exploring Spell Checking, a very important task in any serious NLP pipeline that needs to deal with noisy, incorrect data that has been generated in the wild....

Highlights A quality score difference of at least 5% at two years interval is more likely associated with an improvement of the saving rate The fact that ACOs can be...
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