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Building a Manufacturing Product Defect Classification Model and Application using H2O Hydrogen Torch, H2O MLOps, and H2O Wave
by Leah Cordes May 15, 2023 H2O Hydrogen Torch H2O Wave Manufacturing MLOps

Primary Authors: Nishaanthini Gnanavel and Genevieve Richards Effective product quality control is of utmost importance in the manufacturing industry. The presence of defective components can have adverse effects on various aspects, including escalating production costs, compromising product quality, diminishing product longevity, and leading to substantial resource wastage. However, by promptly identifying defects and implementing suitable […]

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Improving Search Query Accuracy: A Beginner’s Guide to Text Regression with H2O Hydrogen Torch
by Parul Pandey February 28, 2023 H2O Hydrogen Torch Machine Learning

Although search engines are vital to our daily lives, they need help understanding complex user queries. Search engines rely on natural language processing (NLP) to understand the intent behind a user’s query and return relevant results. By formulating a well-formed question, users can provide more precise and specific information about what they are looking for, […]

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H2O.ai Receives Innovation Award for H2O Hydrogen Torch
by Lewis Sanders October 31, 2022 H2O Hydrogen Torch

We don’t like to brag, but we do like to celebrate the work our Makers create, and more importantly, why they create it: for you. H2O.ai was proud to accept the award for “Best Deep Learning Technology” at the AI Tech awards. H2O Hydrogen Torch, a no-code deep learning training engine, was released less than […]

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