Remove 2013 Remove Data Processing Remove Statistics Remove Testing
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Why you should care about debugging machine learning models

O'Reilly on Data

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes.

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Build a RAG data ingestion pipeline for large-scale ML workloads

AWS Big Data

Ray cluster for ingestion and creating vector embeddings In our testing, we found that the GPUs make the biggest impact to performance when creating the embeddings. After you review the cluster configuration, select the jump host as the target for the run command. zst`; do zstd -d $F; done rm *.zst

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Data Science at The New York Times

Domino Data Lab

He advocated that an impactful ML solution does not end with Google Slides but becomes “a working API that is hosted or a GUI or some piece of working code that people can put to work” Wiggins also dove into examples of applying unsupervised, supervised, and reinforcement learning to address business problems. And we can do that.

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What Is Embedded Analytics?

Jet Global

Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. Users’ varied needs require a shift in traditional BI thinking.