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ML Hyperparameter Optimization App using Streamlit

Analytics Vidhya

The post ML Hyperparameter Optimization App using Streamlit appeared first on Analytics Vidhya. It was designed especially for Machine Learning and Data Scientist team. Using Streamlit, we can quickly create interactive web apps and deploy them. Frontend […].

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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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Complete Guide to Effortless ML Monitoring with Evidently.ai

Analytics Vidhya

Introduction Whether you’re a fresher or an experienced professional in the Data industry, did you know that ML models can experience up to a 20% performance drop in their first year? ML Monitoring aids in early […] The post Complete Guide to Effortless ML Monitoring with Evidently.ai

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How ML with Titanic Dataset Could be Misleading?

Analytics Vidhya

The post How ML with Titanic Dataset Could be Misleading? The luxury cruiser, touted to be one of the safest when launched, sank thousands of passengers due to an accident with an iceberg. Out of 2224 passengers, 1502 passengers died due to […]. appeared first on Analytics Vidhya.

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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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Use of ML in HealthCare: Predictive Analytics and Diagnosis

Analytics Vidhya

What if some technology can overcome […] The post Use of ML in HealthCare: Predictive Analytics and Diagnosis appeared first on Analytics Vidhya. The main reasons for misdiagnosis are a lack of experienced doctors, lack of time with patients, lack of resources, etc.

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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

💥 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.