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.
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...
Highlights A higher variation observed for ambulatory healthcare services access (indicator) among countries where the cost (indicator) of ambulatory health care services is smaller than OECD average cost A small...
Demos
