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Steal the code (ethically) and get better at ML/AI research

Analytics Vidhya

The post Steal the code (ethically) and get better at ML/AI research appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Okay! I know that stealing is a crime and we should.

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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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Top 40 Python Libraries for AI, ML and Data Science

Analytics Vidhya

Known for its beginner-friendliness, you can dive into AI without complex code. This flexible language has you covered for all things AI and beyond. This article is […] The post Top 40 Python Libraries for AI, ML and Data Science appeared first on Analytics Vidhya. Python’s superpower?

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ML Olympiad returns with over 20 challenges

AI News

The popular ML Olympiad is back for its third round with over 20 community-hosted machine learning competitions on Kaggle. Detect Hallucinations in LLMs Luca Massaron (AI/ML GDE) presents a unique challenge of identifying hallucinations in answers provided by a Mistral 7B instruct model.

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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

When developing a Gen AI application, one of the most significant challenges is improving accuracy. 💥 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. .

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Build, Deploy, and Manage ML Models with Google Vertex AI

Analytics Vidhya

Vertex AI is a unified platform from Google Cloud offering tools and infrastructure to build, deploy, and manage machine learning models.

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Top 10 emerging AI and ML uses in data centres

AI News

In this week’s round-up, we share the top 10 ways AI and ML technologies are transforming the world’s data centres, driving efficiencies and sustainability Across the world’s industries, AI and ML are enabling a huge degree of transformation. Reliability is the crux of a data centre’s reputation.

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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.