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Breaking Down Social Bias in Artificial Intelligence Algorithms for Cardiovascular Risk Assessment

Analytics Vidhya

Hence, researchers are now exploring the potential of artificial intelligence (AI) and machine learning (ML) algorithms to improve […] The post Breaking Down Social Bias in Artificial Intelligence Algorithms for Cardiovascular Risk Assessment appeared first on Analytics Vidhya.

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Explainable Artificial Intelligence (XAI) for AI & ML Engineers

Analytics Vidhya

Introduction Hello AI&ML Engineers, as you all know, Artificial Intelligence (AI) and Machine Learning Engineering are the fastest growing filed, and almost all industries are adopting them to enhance and expedite their business decisions and needs; for the same, they are working on various aspects […].

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Innovative machine learning uses transforming business applications

AI News

Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. By leveraging vast amounts of data and powerful algorithms, ML enables companies to automate processes, make accurate predictions, and uncover hidden patterns to optimise performance.

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Comparison: Artificial Intelligence vs Machine Learning

Pickl AI

Summary: This article compares Artificial Intelligence (AI) vs Machine Learning (ML), clarifying their definitions, applications, and key differences. While AI aims to replicate human intelligence across various domains, ML focuses on learning from data to improve performance.

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Real-time artificial intelligence and event processing  

IBM Journey to AI blog

Artificial intelligence is also key for businesses, helping provide capabilities for both streamlining business processes and improving strategic decisions. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

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Future of AI and Machine Learning in Cybersecurity

Analytics Vidhya

Introduction Artificial Intelligence (AI) and Machine Learning (ML) have rapidly become some of the most important technologies in the field of cybersecurity. With the increasing amount of data and sophisticated cyber threats, AI and ML are being used to strengthen the security of organizations and individuals.

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How to establish lineage transparency for your machine learning initiatives

IBM Journey to AI blog

Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes.