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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Text analytics: Text analytics, also known as text mining, deals with unstructured text data, such as customer reviews, social media comments, or documents. It uses natural language processing (NLP) techniques to extract valuable insights from textual data.

Analytics 203
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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

Rajesh Nedunuri is a Senior Data Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team. He specializes in designing, building, and optimizing large-scale data solutions.

AWS 123
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The Age of Health Informatics: Part 1

Heartbeat

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

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A Comprehensive Guide to the main components of Big Data

Pickl AI

Understanding these enhances insights into data management challenges and opportunities, enabling organisations to maximise the benefits derived from their data assets. Veracity Veracity refers to the trustworthiness and accuracy of the data. Value Value emphasises the importance of extracting meaningful insights from data.

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

Understanding these enhances insights into data management challenges and opportunities, enabling organisations to maximise the benefits derived from their data assets. Veracity Veracity refers to the trustworthiness and accuracy of the data. Value Value emphasises the importance of extracting meaningful insights from data.

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Use of Data Analytics by Uber to Enhance Supply Efficiency and Service Quality

Pickl AI

This blog delves into how Uber utilises Data Analytics to enhance supply efficiency and service quality, exploring various aspects of its approach, technologies employed, case studies, challenges faced, and future directions. Customer Feedback Analysis Uber actively collects feedback from riders after each trip through its app.

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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning Blog

Each business problem is different, each dataset is different, data volumes vary wildly from client to client, and data quality and often cardinality of a certain column (in the case of structured data) might play a significant role in the complexity of the feature engineering process.

AWS 102