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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

Although SageMaker has become a popular hardware accelerator since it was launched in 2017, there are plenty of other overlooked hardware accelerators on the market. A data visualization interface known as SPSS Modeler. Furthermore, there are powerful visualization tools for handling various workflows. Neptune.ai. Neptune.AI

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AI in Analytics: The NLQ Use Case

Sisense

NLQ serves those users who are in a rush, or who lack the skills or permissions to model their data using visualization tools or code editors. Once both issues are addressed, the user can ask “how many customers are responsible for 80% of my Q1 2018 income compared to 2017?” Machine Intent vs. User Intent.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Allows metadata repositories to share and exchange. Adds governance, discovery, and access frameworks for automating the collection, management, and use of metadata.

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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

As of 2017, the fastest computers have reached a speed of 93 PetaFLOPS, which is: 93×1015, or 93,000,000,000,000,000 operations per second. The first type is metadata from images. And just when we might have thought FLOPS had hit their limit, here’s another peak achieved at the U.S. Epilogue: Will your next doctor be a supercomputer?

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Real-Real-World Programming with ChatGPT

O'Reilly on Data

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything. The gist is, leveraging metadata about research datasets, projects, publications, etc., Rinse, lather, repeat—probably each week.

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Exploring FIBO Using the Inference and Property Path Features of GraphDB

Ontotext

Since its initial release in 2017, it has grown to include and align with a number of existing standards and has benefited from broad finance industry participation. and OWL 2 reasoning in addition to a number of product-specific tools for navigation, visualization, analysis and federation. More details can be found here.

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