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

AltexSoft

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. In collaboration, they trained random forests — ensemble algorithms consisting of many decision trees — to generate individual forecasts. Data preparation for LOS prediction.

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Top Data Cleaning Techniques & Best Practices for 2024

Knowledge Hut

In the context of data science , clean data is crucial because the quality of your data directly impacts the reliability of your analysis and the outcomes of your algorithms. Data cleaning is like ensuring that the ingredients in a recipe are fresh and accurate; otherwise, the final dish won't turn out as expected.

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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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Audio Analysis With Machine Learning: Building AI-Fueled Sound Detection App

AltexSoft

In this article, we’ll share what we’ve learnt when creating an AI-based sound recognition solutions for healthcare projects. Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. Audio data file formats. Speech recognition.

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What are the Features of Big Data Analytics

Knowledge Hut

You'll be better able to comprehend the complex ideas in this field if you have a solid understanding of the characteristics of big data in data analytics and a list of essential features for new data platforms. What Are the Different Features of Big Data Analytics? The main features of big data analytics are: 1.

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AutoML: How to Automate Machine Learning With Google Vertex AI, Amazon SageMaker, H20.ai, and Other Providers

AltexSoft

On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms.

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Data Vault on Snowflake: Feature Engineering and Business Vault

Snowflake

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.