MLOps is a set of practices that combines machine learning, DevOps, and data engineering to deploy and maintain ML systems in production reliably and efficiently. In this blog, we will explore best practices for integrating machine learning models into production using MLOps.
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In the contemporary digital era, businesses and organizations generate an unprecedented volume of data every second. This vast amount of data, often referred to as big data, has transformed how decisions are made across various industries. Big data encompasses the structured and unstructured information collected from numerous sources, including social media, sensors, transactions, and more. Leveraging this data effectively can lead to more informed, strategic, and impactful decision-making. This blog delves into the role of big data in decision-making, its benefits, challenges, and real-world applications.
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