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Length of Stay in Hospital: How to Predict the Duration of Inpatient Treatment

AltexSoft

How many days will a particular person spend in a hospital? This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. In the US, the duration of hospitalization changed from an average of 20.5 The average length of hospital stay across countries.

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Average Daily Rate: The Role of ADR in Hospitality Revenue Management and Strategies to Improve This KPI

AltexSoft

Navigating the increasingly competitive hospitality sector landscape demands a thorough grasp of the vital performance indicators that display profitability. ADR , in the hospitality industry, stands for the average daily rate. Discover how revenue management functions in hospitality in our video. What is ADR?

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Occupancy Rate Prediction: Building an ML Module to Analyze One of the Main Hospitality KPIs

AltexSoft

Read on to find out what occupancy prediction is, why it’s so important for the hospitality industry, and what we learned from our experience building an occupancy rate prediction module for Key Data Dashboard — a US-based business intelligence company that provides performance data insights for small and medium-sized vacation rentals.

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Hotel Price Prediction: Hands-On Experience of ADR Forecasting

AltexSoft

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. Hotel price prediction is the process of using machine learning algorithms to forecast the rates of hotel rooms based on various factors such as date, location, room type, demand, and historical prices.

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AI in Short-Term Rentals: How Machine Learning Shapes STR

AltexSoft

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. Deep Learning is a subset of machine learning that focuses on building complex algorithms named deep neural networks.

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An Extensive Guide To Understanding Predictive Models And Their Real-world Applications

U-Next

Several vetted models and algorithms are used in the predictive analytics tools in order to generate a large number of useful outcomes that are applicable to a wide range of use cases. . An evaluation of a sequence of data points over a period of time is carried out using this model. Types Of Predictive Models . Random Forest .

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Prompt Engineering: The Guide to Mastering The Art of Talking to AI

AltexSoft

In the world of machine learning , there’s a well-known saying, “An ML model is only as good as the training data you feed it with.” It points out the critical role that data quality plays in the outcomes you get from these algorithms. Watch our video about data preparation for ML tasks to learn more about this.