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Apache Spark vs MapReduce: A Detailed Comparison

Knowledge Hut

Be it telecommunication, e-commerce, banking, insurance, healthcare, medicine, agriculture, biotechnology, etc. You can view the same data as both graphs and collections, transform and join graphs with RDDs efficiently, and write custom iterative graph algorithms using the Pregel API. You name the industry and it's there.

Hadoop 96
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Data Science in FinTech: Roles, Use Cases, and Benefits

Knowledge Hut

Over time, FinTech has evolved to disrupt almost all aspects of financial services, including payments, investments, consumer finance, insurance, securities settlement, cryptocurrencies, etc. FinTech companies depend heavily on FinTech data science to simplify financial decision-making and deliver cutting-edge solutions.

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15 Popular Machine Learning Frameworks for Model Training

ProjectPro

A machine learning framework is a tool that lets software developers, data scientists, and machine learning engineers build machine learning models without having to dig into the underlying working principle(math and stat) of the machine learning algorithms. It bundles a vast collection of data structures and ML algorithms.

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Data Analytics Projects: 9 Project Ideas for Your Portfolio

Edureka

Intermediate Data Analytics Projects: Intermediate data analytics projects involve more complex analyses and require a deeper understanding of statistical concepts and machine learning algorithms. Intermediate data analytics projects can be challenging but rewarding.

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Top Business Intelligence Platforms of 2024 [with Features]

Knowledge Hut

It is a group of resources and services for turning data into usable knowledge and information. Descriptive analytics, performance benchmarking, process analysis, and data mining fall under the business intelligence (BI) umbrella. Many diverse businesses, including retail, insurance, and the oil industry, have embraced BI.

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10 Unique Business Intelligence Projects with Source Code 2023

ProjectPro

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies. to estimate the costs.

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Important AI and Management Tools of 2022

U-Next

A number of hyperparameters are typically included in newer algorithms. The algorithm includes a number of calculations necessary for AI and data mining assignments, such as bunching, relapse, and order. It can be used to analyze risks, frauds, insurance policies, advertising campaigns, healthcare, and customers. .