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How Data Science Helps Fight Synthetic Identity Fraud

ODSC - Open Data Science

Whether businesses use pattern matching, machine learning (ML), or forecasting, their approach will outperform conventional rule-based systems. Data Science Techniques to Use Against Fraudsters There are several data science techniques for preventing and detecting synthetic identity fraud.

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Predicting the Protein Structure Resolution Using Decision Tree

Mlearning.ai

Explore unique dataset for your upcoming data science project ? Submission Suggestions Predicting the Protein Structure Resolution Using Decision Tree was originally published in MLearning.ai Medium’s Boost / New Multimodal Models / 180K+ AI Art Prompts Mlearning.ai

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Five machine learning types to know

IBM Journey to AI blog

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

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How to become a data scientist

Dataconomy

This involves collecting, cleaning, and analyzing large data sets to identify patterns, trends, and relationships that might otherwise be hidden. They use these insights to predict future trends, optimize operations, and influence strategic decisions. This is where data visualization comes in.

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How to Call Machine Learning Algorithms on R for Spatial Analysis.

Towards AI

Hopefully, this article will serve as a roadmap for leveraging the power of R, a versatile programming language, for spatial analysis, data science and visualization within GIS contexts. Numerous spatial data formats, including shapefiles, GeoJSON, GeoTIFF, and NetCDF, can be read and written by these programs.

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How to Use Machine Learning (ML) for Time Series Forecasting?—?NIX United

Mlearning.ai

How to Use Machine Learning (ML) for Time Series Forecasting — NIX United The modern market pace calls for a respective competitive edge. Data forecasting has come a long way since formidable data processing-boosting technologies such as machine learning were introduced.

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How Light & Wonder built a predictive maintenance solution for gaming machines on AWS

AWS Machine Learning Blog

Utilizing data streamed through LnW Connect, L&W aims to create better gaming experience for their end-users as well as bring more value to their casino customers. Predictive maintenance is a common ML use case for businesses with physical equipment or machinery assets. We used AutoGluon to explore several classic ML algorithms.

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