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New book provides an accessible and practical introduction to data science

CILIP

New book provides an accessible and practical introduction to data science. Facet Publishing announce the publication of Practical Data Science for Information Professionals by David Stuart. David Stuart said of the text: "The growing importance of data science in the world today is impossible to miss ?

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MLOps and the evolution of data science

IBM Big Data Hub

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. How MLOps will be used within the organization.

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Working to Advance Library Support for Web Archive Research 

Archive-It

by the Community Programs team This Spring, the Internet Archive hosted two in-person workshops aimed at helping to advance library support for web archive research: Digital Scholarship & the Web and Art Resources on the Web. Participants were then introduced to Archives Research Compute Hub (ARCH).

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Working to Advance Library Support for Web Archive Research 

Archive-It

by the Community Programs team This Spring, the Internet Archive hosted two in-person workshops aimed at helping to advance library support for web archive research: Digital Scholarship & the Web and Art Resources on the Web. Participants were then introduced to Archives Research Compute Hub (ARCH).

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Build, Access, Analyze: Introducing ARCH (Archives Research Compute Hub)

Archive-It

With ARCH’s intuitive interface, users can build custom research collections from existing digital collections, generate and access research-ready datasets, and analyze those datasets both in ARCH and in other analysis and visualization tools. ARCH is for any user that seeks an accessible approach to working with digital collections at scale.

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Build, Access, Analyze: Introducing ARCH (Archives Research Compute Hub)

Archive-It

With ARCH’s intuitive interface, users can build custom research collections from existing digital collections, generate and access research-ready datasets, and analyze those datasets both in ARCH and in other analysis and visualization tools. ARCH is for any user that seeks an accessible approach to working with digital collections at scale.

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How to enable trustworthy AI with the right data fabric solution

IBM Big Data Hub

Privacy: Are the right rules and policies in place for various people to access the data at different stages of the AI lifecycle? How do you accommodate for drifting data patterns? Comprehensive, trusted data sets. First things first: you need access and insight into all relevant data. Is it scalable?