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Switching from CPUs to GPUs for NYC Taxi Fare Predictions with NVIDIA RAPIDS

Cloudera

Have you ever asked a data scientist if they wanted their code to run faster? One of the best ways to make a substantial improvement in processing time is to, if you haven’t already, switched from CPUs to GPUs. Let’s revisit our very first question: have you ever asked a data scientist if they wanted their code to run faster.

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Lessons learned building natural language processing systems in health care

O'Reilly on Data

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers).

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Themes and Conferences per Pacoid, Episode 13

Domino Data Lab

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Data Science meets Climate Science. Data veracity, data stewardship, and heros of data science.