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23 Best Free NLP Datasets for Machine Learning

Iguazio

Twitter US Airline Sentiment Polarized Tweets from February 2015 about the large US airlines. Data is provided in a CSV file and SQLite database. WordNet A database of English nouns, verbs, adjectives and adverbs grouped into synonyms that depict concepts. Get the dataset here. Get the dataset here. Synonyms 12.

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How an Electrical Engineer Solved Australia’s Most Famous Cold Case

Hacker News

In 2012, with the permission of the police, Janette used a magnifying glass to find where several hairs came together in a cluster. Janette performed our first DNA analysis in 2015 and, from the hair root, was able to place the sample within a maternal genetic lineage, or haplotype , known as “H,” which is widely spread around Europe.

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Best Machine Learning Frameworks for ML Experts in 2023

Pickl AI

It is an open source framework that has been available since April 2015. Scikit-Learn Scikit-Learn, or simply called SKLearn, is the most popular machine learning framework that supports various algorithms for classification, regression, and clustering. Allows clustering of unstructured data. It also allows distributed training.

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

This dataset comprises a multi-center critical care database collected from over 200 hospitals, which makes it ideal to test our FL experiments. We used the eICU Collaborative Research Database , a multi-center intensive care unit (ICU) database, comprising 200,859 patient unit encounters for 139,367 unique patients.

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Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning Blog

per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. The post used models pre-trained on data obtained from the SEC EDGAR database.

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Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning Blog

per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. The post used models pre-trained on data obtained from the SEC EDGAR database.

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Introducing spaCy

Explosion

The only problem is that the list really contains two clusters of words: one associated with the legal meaning of “pleaded”, and one for the more general sense. Sorting out these clusters is an area of active research. Labs and Emory University, to appear at ACL 2015. Independent Evaluation Independent evaluation by Yahoo!