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Top 22 Data Science Applications That You Should Know

Knowledge Hut

Data processing can be done using statistical techniques, algorithms, scientific approaches, various technologies, etc. Nearly all of the Google advertisements you see and display banners on different websites use data science and algorithms. To remove meaningful data from enormous amounts of data, processing of data is necessary.

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Real-World Use Cases of Big Data That Drive Business Success

Knowledge Hut

Retailers may improve inventory management, logistics, savings, and supply chain efficiency by analyzing data from suppliers, distribution centers, transportation routes, and client demand. This can also lower transportation costs, speed up delivery times, and increase overall efficiency.

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50 ML Projects To Strengthen Your Portfolio and Get You Hired

ProjectPro

Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems. Machine Learning Projects (ML Projects) in Transportation 1.

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What Is MLOps?

Edureka

In today’s data-driven world, machine learning models play a huge role in developing sectors like healthcare, finance, transport, e-commerce, and so on. This is the core step where the machine learning algorithm learns from the data to make accurate predictions or decisions.

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10 Practical Generative AI Examples to be More Productive

Edureka

Recognising Patterns: The algorithm then recognises patterns and relationships between various data sets based on all the retrieved training data. Getting Trained on Data: To perform any task, first, the generative AI models need to be trained on massive datasets of existing content.

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Difference Between Linear and Non-Linear Data Structures

Knowledge Hut

The best data structure courses provide comprehensive coverage of linear structures like arrays and linked lists as well as non-linear structures like trees and graphs, with hands-on programming practice to build skill in implementing optimised algorithms using appropriate storage schemes. Computer data is no different!

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The Recommendation System at Lyft

Lyft Engineering

As Lyft’s portfolio grows, a typical rider can have a hard time discovering and understanding the wide variety of products that Lyft has to offer, which may result in riders accidentally booking the wrong mode. This is to reduce cognitive overload for users, and have them focus on modes that would best represent their transportation needs.

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