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Enhancing H2O Model Validation App with h2oGPT Integration
by Parul Pandey | May 17, 2023 Deep Learning , H2O Model Validation , h2oGPT

As machine learning practitioners, we’re always on the lookout for innovative ways to streamline and enhance our processes. What if we could integrate the power of language models into our workflows, especially in the critical phase of model validation? Imagine running validation procedures, interpreting results, or even troubleshooting i...

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Improving Search Query Accuracy: A Beginner's Guide to Text Regression with H2O Hydrogen Torch
by H2O.ai Team | February 28, 2023 Deep Learning , 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 w...

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Make with H2O.ai Recap: Getting Started with H2O Document AI
by Blair Averett | August 05, 2022 Deep Learning , H2O Document AI , Make with H2O.ai , NLP

Product Owner, Data Scientist, and Kaggle Grandmaster, Mark Landry presented at the Make with H2O.ai session on getting started with H2O Document AI. The session covered an overview of H2O Document AI , a tool to extract insights and automate document processing. The session also included a product demo, looking at documents as data sets...

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Tackling Illegal, Unreported, and Unregulated (IUU) Fishing with AI
by Ryan Chesler, Guanshuo Xu | February 28, 2022 AI4Good , Computer Vision , Deep Learning , H2O AI Cloud , Kaggle , Solutions

According to a report by the High-Level Panel for a Sustainable Ocean Economy, it is estimated that illegal, unreported, and unregulated (IUU) fishing accounts for 20 percent of the seafood and up to 50 percent in some areas. These activities not only affect the marine ecosystem but, in a way, are linked to climate change on the planet a...

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A Quick Introduction to PyTorch: Using Deep Learning for Stock Price Prediction

Torch is a scalable and efficient deep learning framework. It offers flexibility and speed to build large scale applications. It also includes a wide range of libraries for developing speech, image, and video-based applications. The basic building block of Torch is called a tensor. All the operations defined in Torch use a tensor. Ok, l...

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How Much is My Property Worth?

Note : this is a guest blog post by Jaafar Almusaad .How Much is My Property Worth?This is the million-dollar question – both figuratively and literally. Traditionally, qualified property valuers are tasked to answer this question. It’s a lengthy and costly process, but more critically, it’s inconsistent and largely subjective. Mind you, ...

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Unwrap Deep Neural Networks Using H2O Wave and Aletheia for Interpretability and Diagnostics

The use cases and the impact of machine learning can be observed clearly in almost every industry and in applications such as drug discovery and patient data analysis, fraud detection, customer engagement, and workflow optimization. The impact of leveraging AI is clear and understood by the business; however, AI systems are also seen as b...

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Summary of a Responsible Machine Learning Workflow

A paper resulting from a collaboration between H2O.AI and BLDS, LLC was recently published in a special “Machine Learning with Python” issue of the journal, Information (https://www.mdpi.com/2078-2489/11/3/137). In “A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing...

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How This AI Tool Breathes New Life Into Data Science

Ask any data scientist in your workplace. Any Data Science Supervised Learning ML/AI project will go through many steps and iterations before it can be put in production. Starting with the question of “Are we solving for a regression or classification problem?” Data Collection & Curation Are there Outliers? What is the Distribu...

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H2O-3 on FfDL: Bringing deep learning and machine learning closer together
by Vinod Iyengar | June 25, 2018 Community , Deep Learning , H2O-3 , Technical

This post originally appeared in the IBM Developer blog here. This post is co-authored by Animesh Singh, Nicholas Png, Tommy Li, and Vinod Iyengar. Deep learning frameworks like TensorFlow, PyTorch, Caffe, MXNet, and Chainer have reduced the effort and skills needed to train and use deep learning models. But for AI developers and data ...

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AI in Healthcare - Redefining Patient & Physician Experiences
by H2O.ai Team | May 14, 2018 Community , Data Science , Deep Learning

Register for the Meetup Here Patients, physicians, nurses, health administrators and policymakers are beneficiaries of the rapid transformations in health and life sciences. These transformations are being driven by new discoveries (etiology, therapies, and drugs/implants), market reconfiguration and consolidation, a movement to value-bas...

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Happy Holidays from H2O.ai
by H2O.ai Team | December 31, 2017 Deep Learning , Machine Learning

Dear Community, Your intelligence, support and love have been the strength behind an incredible year of growth, product innovation, partnerships, investments and customer wins for H2O and AI in 2017. Thank you for answering our rallying call to democratize AI with our maker culture. Our mission to make AI ubiquitous is still fresh as da...

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