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

Knowledge Hut

Big Data Use Cases in Banking and Financial Services Fraud Detection and Prevention: By examining vast amounts of transaction data and looking for patterns and anomalies suggestive of possible fraud, big data analytics assists banks and financial organizations in finding fraudulent activity.

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Data Science for Finance: Benefits, Applications, Examples

Knowledge Hut

Data science is the field of study that deals with a huge volume of data using modern technologically driven tools and techniques to find some sort of pattern and derive meaningful information out of it that eventually helps in business and financial decisions. Under this certification, you cover Python/R, statistics, and tableau.

Finance 93
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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

Best Data Science certifications online or offline are available to assist you in establishing a solid foundation for every end-to-end data engineering project. What are Data Engineering Projects? You should be able to identify potential weak spots in data pipelines and construct robust solutions to withstand them.

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AI in Banking: 5 Applications of Artificial Intelligence in Banking

Edureka

To find abnormalities and signs of cyber risks, machine learning algorithms analyse vast volumes of data, including log files, user behaviour patterns, and network traffic. Transaction Monitoring: AI systems examine enormous volumes of transactional data to spot patterns and anomalies that could be signs of fraud.

Banking 40
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Backend Developer Roadmap: The Ultimate Guide 2023

Knowledge Hut

These include: A strong foundation in computer science, including knowledge of algorithms, data structures, and programming languages. Finally, the roadmap highlights the importance of understanding security concepts and practices to ensure the safety and integrity of data and systems.

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Veracity in Big Data: Why Accuracy Matters

Knowledge Hut

This velocity aspect is particularly relevant in applications such as social media analytics, financial trading, and sensor data processing. Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Handling this variety of data requires flexible data storage and processing methods.

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15 Top Machine Learning Projects for Final Year Students

ProjectPro

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Recommendation engines are popular in media, entertainment, and shopping. This type of application is beneficial in searching, mobile application development, and social media apps.