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End-to-End model training and deployment with Amazon SageMaker Unified Studio

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Organizations need a unified, streamlined approach that simplifies the entire process from data preparation to model deployment. To address these challenges, AWS has expanded Amazon SageMaker with a comprehensive set of data, analytics, and generative AI capabilities.

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How to Work Smarter, Not Harder, with Artificial Intelligence

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Effective data handling, including preprocessing, exploratory data analysis, and making sure data quality, is crucial for creating reliable AI models. R: A powerful tool for statistical analysis and data visualization, R is particularly useful for exploratory data analysis and research-focused AI applications.

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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

Key Responsibilities of a Data Scientist in India While the core responsibilities align with global standards, Indian data scientists often face unique challenges and opportunities shaped by the local market: Data Acquisition and Cleaning: Extracting data from diverse sources including legacy systems, cloud platforms, and third-party APIs.

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Modernize and migrate on-premises fraud detection machine learning workflows to Amazon SageMaker

AWS Machine Learning Blog

By using the AWS Experience-Based Acceleration (EBA) program, they can enhance efficiency, scalability, and maintainability through close collaboration. To address these challenges and streamline modernization efforts, AWS offers the EBA program.

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Big Data vs. Data Science: Demystifying the Buzzwords

Pickl AI

Exploring the Ocean If Big Data is the ocean, Data Science is the multifaceted discipline of extracting knowledge and insights from data, whether it’s big or small. It’s an interdisciplinary field that blends statistics, computer science, and domain expertise to understand phenomena through data analysis.

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How ZURU improved the accuracy of floor plan generation by 109% using Amazon Bedrock and Amazon SageMaker

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ZURU collaborated with AWS Generative AI Innovation Center and AWS Professional Services to implement a more accurate text-to-floor plan generator using generative AI. Following this filtering mechanism, data points not achieving 100% accuracy on instruction adherence are removed from the training dataset.

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University of San Francisco Data Science Conference 2023 Datathon in partnership with AWS and Amazon SageMaker Studio Lab

AWS Machine Learning Blog

As part of the 2023 Data Science Conference (DSCO 23), AWS partnered with the Data Institute at the University of San Francisco (USF) to conduct a datathon. Participants, both high school and undergraduate students, competed on a data science project that focused on air quality and sustainability.