Dataconomy

SEPTEMBER 22, 2023

Data archiving is the systematic process of securely storing and preserving electronic data, including documents, images, videos, and other digital content, for long-term retention and easy retrieval. Lastly, data archiving allows organizations to preserve historical records and documents for future reference.

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Clustering Algorithm Data Classification Machine Learning 185

Towards AI

MAY 3, 2023

When given a query like “classify brain tumor,” the vector database can search for documents or phrases that have similar meanings to the query. It achieves this by comparing the vector representation of the query with the vectors of the stored documents, which encompass past experiences and accumulated knowledge.

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ML ML Machine Learning Machine Learning 85

AWS Machine Learning Blog

NOVEMBER 1, 2023

Organizations can search for PII using methods such as keyword searches, pattern matching, data loss prevention tools, machine learning (ML), metadata analysis, data classification software, optical character recognition (OCR), document fingerprinting, and encryption.

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AWS Machine Learning Machine Learning Clustering 84

AWS Machine Learning Blog

DECEMBER 5, 2023

For instance, according to International Data Corporation (IDC), the world’s data volume is expected to increase tenfold by 2025, with unstructured data accounting for a significant portion. Insurance companies are burdened with increasing numbers of claims that they must process.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. Use the right technology to store data For IDP workflows, most of the data is likely to be documents.

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Dataconomy

AUGUST 31, 2023

Here are some examples of where classification can be used in machine learning: Image recognition : Classification can be used to identify objects within images. The goal of unsupervised learning is to identify structures in the data, such as clusters, dimensions, or anomalies, without prior knowledge of the expected output.

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Machine Learning Machine Learning Supervised Learning Algorithm 136

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

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Machine Learning Machine Learning Supervised Learning Clustering 74