Meta Data is data that describes other data in a structured, consistent form, so that large amounts of data can be collected, stored, and analyzed over time.
Metadata is used to store big data in data warehouses for easy retrieval and management. A data warehouse uses structured data in data sources that are standardized, cleaned, and consistent. Metadata provides uniformity in the collection and storage of this data, so business owners and data analysts can easily access and derive insights from the data.
Effective management of meta data is a necessary part of robust and flexible big data “ecosystems,” that is, it helps companies manage their data assets efficiently and makes that data available to data scientists and other analysts.
Data cleanup, or data rubbing, is the process of detecting and correcting or removing data or records that are incorrect from a database. It also includes correcting or removing unformatted or duplicate data or records.
GPT-4.5, OpenAI tarafından geliştirilen en yeni yapay zeka dil modelidir. GPT-4'ün devamı olarak gelen bu model, doğal dil işleme (NLP) yeteneklerini daha da ileriye taşıyarak kullanıcı deneyimini daha verimli ve akıllı hale getirmeyi amaçlamaktadır.
Fiziksel yapay zeka, gerçek dünyada bulunan fiziksel nesnelerle etkileşime girebilen, çevresini algılayabilen ve bu çevreye adaptif tepkiler verebilen yapay zeka sistemleri olarak açıklanmaktadır.
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