02864nam 22006495 450 991075138320332120251009101241.09789819963539981996353210.1007/978-981-99-6353-9(CKB)28487837500041(MiAaPQ)EBC30781841(Au-PeEL)EBL30781841(PPN)272917966(OCoLC)1405938715(DE-He213)978-981-99-6353-9(EXLCZ)992848783750004120231010d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierData Centric Artificial Intelligence: A Beginner’s Guide /by Parikshit N. Mahalle, Gitanjali R. Shinde, Yashwant S. Ingle, Namrata N. Wasatkar1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (137 pages)Data-Intensive Research,2731-55689789819963522 9819963524 Introduction -- Model-Centric AI -- Data-Centric Principles for AI Engineering -- Mathematical Foundation for Data Centric AI -- Data-Centric AI -- Data-Centric AI in healthcare -- Data-Centric AI in Mechanical Engineering -- Data-Centric AI in Information Communication and Technology -- Conclusion.This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of artificial intelligence (AI) in various domains. It presents comparative studies of model-centric and data-centric AI. It also highlights different phases in data-centric approach and data-centric principles. The book presents prominent use cases of data-centric AI. It serves as a reference guide for researchers and practitioners in academia and industry.Data-Intensive Research,2731-5568Computational intelligenceArtificial intelligenceArtificial intelligenceData processingComputational IntelligenceArtificial IntelligenceData ScienceComputational intelligence.Artificial intelligence.Artificial intelligenceData processing.Computational Intelligence.Artificial Intelligence.Data Science.006.3Mahalle Parikshit N947748Shinde Gitanjali Rahul1983-1257776Ingle Yashwant S1432722Wasatkar Namrata N1432723MiAaPQMiAaPQMiAaPQBOOK9910751383203321Data Centric Artificial Intelligence: A Beginner’s Guide4451762UNINA