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Data Science

Data Science, and more generally Artificial Intelligence (AI), differs from traditional programming and analysis in its ability to extract knowledge from data and modify its behavior and learn without specific programming. While traditional software predefines the logic that governs their processes, Data Science's algorithms build and discover models and are able to continually improve them.

Data Science brings together a set of skills including Machine Learning, Natural Language Processing (NLP), speech, images and faces recognition (among other applications). In some applications, the algorithms go so far as to simulate human intelligence.

Convergence of business, data and statitics

Key Takeaways

  • Data Scientists build, train, and validate models to drive critical business decisions.
  • Data Scientists are concerned with data access, reproducibility, and collaboration in order to make models quickly at scale.
  • Adaltas enable Data Scientists to easily build, scale, and deploy machine learning models in minutes, helping drive innovation across the business.
Data Scientists

Articles related to Data Science

Deploy your containerized AI applications with nvidia-docker

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More and more products and services are taking advantage of the modeling and prediction capabilities of AI. This article presents the nvidia-docker tool for integrating AI (Artificial Intelligence…

Robert Walid SOARES

By Robert Walid SOARES

Mar 24, 2022

Canada - Morocco - France

International locations

10 rue de la Kasbah
2393 Rabbat

We are a team of Open Source enthusiasts doing consulting in Big Data, Cloud, DevOps, Data Engineering, Data Science…

We provide our customers with accurate insights on how to leverage technologies to convert their use cases to projects in production, how to reduce their costs and increase the time to market.

If you enjoy reading our publications and have an interest in what we do, contact us and we will be thrilled to cooperate with you.