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Master hyperparameter tuning for machine learning models

Data Science Dojo

Machine learning algorithms require the use of various parameters that govern the learning process. Learn about top 10 machine learning demos in detail Why is hyperparameter tuning important? This includes data cleaning, data normalization, and feature selection.

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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

Flipboard

For more information on how to use GluonTS SBP, see the following demo notebook. She is working on research and development of Machine Learning algorithms for high-impact customer applications in a variety of industrial verticals to accelerate their AI and cloud adoption.

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How Wayfair accelerated product tagging automation with Snorkel Flow

Snorkel AI

Auto-extracting visual information from product images Wayfair was developing machine learning (ML) models to pull information from their product images and convert that data into tags used to return better, more accurate results to customer searches. Snorkel’s computer vision workflow for data preprocessing and iterative model development.

ML 64
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How Wayfair accelerated product tagging automation with Snorkel Flow

Snorkel AI

Auto-extracting visual information from product images Wayfair was developing machine learning (ML) models to pull information from their product images and convert that data into tags used to return better, more accurate results to customer searches. Snorkel’s computer vision workflow for data preprocessing and iterative model development.

ML 59
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Present and future of data cubes: an European EO perspective

Mlearning.ai

How can we all make environmental data more usable, accessible and more relevant? Presentations include demos of functionality and proposals for the future development work, primarily funded by the Horizon Europe programme. Video Presentation of the B3 Project’s Data Cube.

AWS 98
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Retrieval augmented generation (RAG): a conversation with its creator

Snorkel AI

Where we are right now in the field is that there’s been this kind of “demo disease,” as we call it at Contextual AI. Everybody wants to build a cool demo. Everybody wants to build a cool demo. But what folks generally underestimate, or just misunderstand, is that it’s not just generically good data.

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Retrieval augmented generation (RAG): a conversation with its creator

Snorkel AI

Where we are right now in the field is that there’s been this kind of “demo disease,” as we call it at Contextual AI. Everybody wants to build a cool demo. Everybody wants to build a cool demo. But what folks generally underestimate, or just misunderstand, is that it’s not just generically good data.