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Unlocking the Power of Better Data Science Workflows

Smart Data Collective

Phase 4: Knowledge Discovery. Algorithms can also be tested to come up with ideal outcomes and possibilities. With the data analyzed and stored in spreadsheets, it’s time to visualize the data so that it can be presented in an effective and persuasive manner. Finally, models are developed to explain the data.

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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

A/B testing is used widely in information technology companies to guide product development and improvements. For questions as disparate as website design and UI, prediction algorithms, or user flows within apps, live traffic tests help developers understand what works well for users and the business, and what doesn’t.

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Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

The training is structured to follow the steps of building a simple prototype to test the feasibility of the technology with hands-on guidance by experienced instructors. The answers to these questions are presented in the course of week-long, self-paced sessions and a 4.5-hour hour live online practice session.

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Performing Non-Compartmental Analysis with Julia and Pumas AI

Domino Data Lab

Once all packages have been imported, we can move on to loading our test data. We can then proceed with pharmacokinetic modeling, testing the goodness of fit of various models. Note that the import may take a while due to the nature of the just-ahead-of-time (JAOT) compiler that Julia uses. Non Compartmental Analysis.

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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

These additional software components need to be updated, tested and deployed, which goes counter to the Data Fabric goal of creating frictionless movement of data. Ontotext Platform ensures data is accessible to the people in the organization that need the data rather than depending on a technical staff to package it and ferry it to them.

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Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

The training is structured to follow the steps of building a simple prototype to test the feasibility of the technology with hands-on guidance by experienced instructors. The answers to these questions are presented in the course of week-long, self-paced sessions and a 4.5-hour hour live online practice session.

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AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova

Ontotext

Milena Yankova : Our work is focused on helping companies make sense of their own knowledge. Within a large enterprise, there is a huge amount of data accumulated over the years – many decisions have been made and different methods have been tested. Some of this knowledge is locked and the company cannot access it.