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Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry

Description:

The challenges of using inadequate online recruitment systems can be addressed with machine learning and software engineering techniques. Bi-directional personalization reinforcement learning-based architecture with active learning can get recruiters to recommend qualified applicants and also enable applicants to receive personalized job recommendations. This paper focuses on how machine learning...

Keyword:

Reinforcement learning, Active learning, Contextual Bandit, NLP, NER, Sentiment Analysis, Counter factual Evaluation, Travel Industry, Unit tests, Serverless Functions, Language Understanding, Azure Cosmos DB, Serverless Functions, Azure Personalizer,

Subject:

Natural language processing (Computer science), Artificial intelligence, Sentiment analysis, Reinforcement learning, and Machine learning

Creator:

Ezana N. Beyenne

Owner:

Ezana Negga Beyenne

Publisher:

Data Science Masters Theses

Date Uploaded:

03/15/2023

Date Modified:

03/15/2023

Resource Type:

Dissertation and Masters Thesis
MSDS-498: Data Engineering Capstone: Serverless-Data-Pipeline-Architecture implementation

Description:

This is an attempt to recreate a reference architecture with the intention of completing a data engineering capstone project and also learning the services and technologies along the progress. The objective of the project is to use aws cloud managed services to build at scale solution to process, parse and...

Keyword:

ml, data engineering, lambda, serverless, nlp, machine learning, cloud, aws, ai, python, artificial intelligence, comprehend, and capstone

Subject:

Natural language processing (Computer science), Artificial intelligence, Data Engineering, and Machine learning

Creator:

Shankar Sundarakumar

Contributor:

Noah Gift ( Advisor)

Owner:

Shankar Sundarakumar

Language:

English

Date Uploaded:

06/16/2020

Date Modified:

06/16/2020

Date Created:

2020-06-10

Resource Type:

Project

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Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry

MSDS-498: Data Engineering Capstone: Serverless-Data-Pipeline-Architecture implementation

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