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The Future of Data Science – Mining GTC 2021 for Trends

Domino Data Lab

If we can crack the nut of enabling a wider workforce to build AI solutions, we can start to realize the promise of data science. Transferring knowledge between data scientists and data experts (in both directions) is critical and may soon lend itself to a new view of citizen data science. Deep Learning Trends from GTC21.

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8 Modeling Tools to Build Complex Algorithms

Domino Data Lab

With the right tools, your data science teams can focus on what they do best – testing, developing and deploying new models while driving forward-thinking innovation. In general terms, a model is a series of algorithms that can solve problems when given appropriate data. It’s most helpful in analyzing structured data.

Modeling 111
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The DataOps Vendor Landscape, 2021

DataKitchen

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. Reflow — A system for incremental data processing in the cloud.

Testing 307
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Modeling 101: How It Works and Why It’s Important

Domino Data Lab

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code.

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Can Data Science Help Us Make Sense of the Mueller Report?

Domino Data Lab

This blog post provides insights on how to apply Natural Language Processing (NLP) techniques. A complementary Domino project is available. In this blog post, we address the question: “ Can data science help us make sense of the Mueller Report?” The Mueller Report.