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Top NLP Skills, Frameworks, Platforms, and Languages for 2023

ODSC - Open Data Science

Cloud Computing, APIs, and Data Engineering NLP experts don’t go straight into conducting sentiment analysis on their personal laptops. BERT is still very popular over the past few years and even though the last update from Google was in late 2019 it is still widely deployed.

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How Sportradar used the Deep Java Library to build production-scale ML platforms for increased performance and efficiency

AWS Machine Learning Blog

The DJL was created at Amazon and open-sourced in 2019. The DJL continues to grow in its ability to support different hardware, models, and engines. About the authors Fred Wu is a Senior Data Engineer at Sportradar, where he leads infrastructure, DevOps, and data engineering efforts for various NBA and NFL products.

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How to Build an End-to-End Energy Price Forecasting Solution with Snowflake

phData

Utilizing Streamlit as a Front-End At this point, we have all of our data processing, model training, inference, and model evaluation steps set up with Snowpark. Streamlit, an open-source Python package for building web-apps, has grown in popularity since its launch in 2019. Let’s continue by creating a front-end to enable analysts.

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McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

One of a few milestones was setting up our product engineering arm, QB Labs, towards the latter part of 2019. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML.

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McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

One of a few milestones was setting up our product engineering arm, QB Labs, towards the latter part of 2019. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML.

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McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

One of a few milestones was setting up our product engineering arm, QB Labs, towards the latter part of 2019. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML.

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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

The December 2019 release of Power BI Desktop introduced a native Snowflake connector that supported SSO and did not require driver installation. Use Power BI’S Native Snowflake Connector You can connect Power BI to Snowflake just like you can connect Power BI to any other database using the native connector that was released in 2019.