AltexSoft

MAY 27, 2022

How many days will a particular person spend in a hospital? Today, we can employ AI technologies to predict the date of discharge. This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. Source: OECD Data. days in 1960 to just 5.4

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

AltexSoft

MAY 5, 2023

The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing. Deep Learning is a subset of machine learning that focuses on building complex algorithms named deep neural networks.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

AltexSoft

FEBRUARY 21, 2023

Check out our video on how revenue management works in hospitality. Before the advent of machine learning, prediction activities were largely manual, time-consuming, and relied heavily on the experience of hotel managers. This technology enables anticipating future trends and estimating ADRs for hotel or vacation rental properties.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

AltexSoft

MAY 12, 2021

The list of improvements brought by AI-backed technology embraces. Read our article Deep Learning in Medical Diagnosis to get more information about applications for AI in medical image analysis and barriers to adoption of machine learning in healthcare. Data de-identification / anonymization.

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Medical Healthcare Datasets Machine Learning 72

U-Next

SEPTEMBER 22, 2022

An evaluation of a sequence of data points over a period of time is carried out using this model. It is possible, for example, to predict how many patients will be admitted to the hospital next week, next month or the remainder of the year based on the number of stroke patients admitted to the hospital in the last four months. .

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Hospitality Algorithm Machine Learning Banking 40

ProjectPro

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. This big data project discusses IoT architecture with a sample use case. The second stage is data preparation.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

DECEMBER 15, 2021

Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. To grasp how DevOps principles can be integrated into machine learning, read our article on MLOps methods and tools. In brief, AutoML promises to. AutoML use cases.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59