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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. A Data Engineer in the Data Science team is responsible for this sort of data manipulation.

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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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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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

U-Next

Businesses gain a competitive advantage by predicting the future. Predictive modeling , which is a byproduct of artificial intelligence, goes one step beyond predictions. Machine Learning and business intelligence are used in predictive analytics, also known as advanced analytics. .

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time data aggregation. They rely on Data Scientists who use machine learning and deep learning algorithms on their datasets to improve such decisions, and data scientists have to count on Big Data Tools when the dataset is huge.