Remove Data Preparation Remove Datasets Remove Hospitality Remove Unstructured Data
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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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Hotel Price Prediction: Hands-On Experience of ADR Forecasting

AltexSoft

Check out our video on how revenue management works in hospitality. The complexity of the hospitality market. For machine learning algorithms to predict prices accurately, people who do the data preparation must consider these factors and gather all this information to train the model. Data relevance.

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

AltexSoft

According to “Hospitality in 2025: Automated, Intelligent…and More Personal” research by Oracle and Skift , over half of the executives responded that they’ve already implemented automated messaging for customer service requests or are experimenting with it. You can learn more about data preparation for machine learning in our video.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

As you now know the key characteristics, it gets clear that not all data can be referred to as Big Data. What is Big Data analytics? Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc. They are also often expected to prepare their dataset by web scraping with the help of various APIs. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data.

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10 Best Big Data Books in 2024 [Beginners and Advanced]

Knowledge Hut

Key Benefits and Takeaways Learn the basics of big data with Spark. Learn about the fundamental APIs of Spark: DataFrames, SQL, and Datasets using practical examples Explore Spark's low-level APIs, RDDs, and SQL and DataFrame execution. Learn how big data transform banking, law, hospitality, fashion, and science.

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

AltexSoft

Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. In the meantime, we’ll focus on AutoML which drives a considerable part of the MLOps cycle, from data preparation to model validation and getting it ready for deployment.