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ML and AI Model Explainability and Interpretability

Analytics Vidhya

Through tools like LIME and SHAP, we demonstrate how to gain insights […] The post ML and AI Model Explainability and Interpretability appeared first on Analytics Vidhya.

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How to Choose Best ML Model for your Usecase?

Analytics Vidhya

Machine learning (ML) has become a cornerstone of modern technology, enabling businesses and researchers to make data-driven decisions with greater precision. However, with the vast number of ML models available, choosing the right one for your specific use case can be challenging. appeared first on Analytics Vidhya.

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Apache Iceberg vs Delta Lake vs Hudi: Best Open Table Format for AI/ML Workloads

Analytics Vidhya

If you’re working with AI/ML workloads(like me) and trying to figure out which data format to choose, this post is for you.

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Decentralized ML: Developing federated AI without a central cloud - DataScienceCentral.com

Flipboard

We live in… Read More »Decentralized ML: Developing federated AI without a central cloud Massive data charts are uploaded on a centralized server, routed through a super-powerful GPU, and turned into a model that produces recommendations, forecasts, and inferences. But, what if there is not ‘only one way’?

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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Aaron Kesler, Sr. Product Manager, AI/ML at SnapLogic – Interview Series

Unite.AI

Product Manager, AI/ML at SnapLogic, is a certified product leader with over a decade of experience building scalable frameworks that blend design thinking, jobs to be done, and product discovery. Product Manager, AI/ML at SnapLogic – Interview Series appeared first on Unite.AI. Aaron Kesler , Sr. The post Aaron Kesler, Sr.

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AI’s Role in Medical Imaging for Earlier Anomaly Detection

Unite.AI

That is where Machine Learning (ML) plays an important role. We need to train ML models with large amounts of data so that they can form representations of this variability and identify those changes that point to disease. Aside from data, there is a continual progress in developing novel ML methods to improve accuracy.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. The number of use cases/corner cases that the system is expected to handle essentially explodes.