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Using Geographic Data To Create A Perfect Google Maps Radius

Smart Data Collective

Data precision has completely revamped our understanding of geography in countless ways. We also use big data to facilitate navigation. One of the tools that utilizes big data is Google Maps. The Emerging Role of Big Data with Google Analytics.

Big Data 134
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Structural Evolutions in Data

O'Reilly Media

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hadoop 137
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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

Going from Data to Insights LexisNexis At HPCC Systems® from LexisNexis® Risk Solutions you’ll find “a consistent data-centric programming language, two processing platforms, and a single, complete end-to-end architecture for efficient processing.” These tools are designed to help companies derive insights from big data.

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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning Blog

We build a model to predict the severity (benign or malignant) of a mammographic mass lesion trained with the XGBoost algorithm using the publicly available UCI Mammography Mass dataset and deploy it using the MLOps framework. The full instructions with code are available in the GitHub repository.

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How artificial intelligence went from science fiction to science itself?

Dataconomy

Aristotle’s ideas on logic and rationality have influenced the development of algorithms and reasoning systems in modern AI, creating the foundation of the timeline of artificial intelligence. Another significant milestone came in 2012 when Google X’s AI successfully identified cats in videos using over 16,000 processors.

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Machine learning with decentralized training data using federated learning on Amazon SageMaker

AWS Machine Learning Blog

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed.

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Mathematics and Data Science: its role and relevance

Pickl AI

Well, before digging deeper into the prerequisites for Data science, let’s have a quick understanding of why Data Science is gaining popularity. 650% growth in the data domain since 2012. million new job opportunities in the data domain by 2025. The Big Data market is expected to be worth $103 billion by 2027.