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Gene Mutation AI
by h2oai March 14, 2022 H2O AI Cloud Healthcare

A genomics AI solution from H2O.ai Health Powered by NVIDIA GPUs and NVIDIA AI As precision medicine becomes more widespread, both medical diagnosis and drug discovery are increasingly relying on and leveraging the individual’s genomic and phenotypic profiles. From the multiple types and subtypes of cancer to heart disease, to obesity or the immune response, […]

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Tackling Illegal, Unreported, and Unregulated (IUU) Fishing with AI
by h2oai February 28, 2022 AI4Good Computer Vision Deep Learning H2O AI Cloud Kaggle Use Cases

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 […]

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Demand Sensing with H2O Wave : Supply Chain Intelligence and Inventory Optimization for Retail, CPG, and FMCG Industries
by h2oai February 28, 2022 H2O AI Cloud Use Cases Wave

Demand Sensing can help optimize inventories by analyzing and modeling short-term and real-time signals The supply chains across the Consumer Packaged Goods (CPG), Fast-Moving Consumer Goods (FMCG) and Retail sectors need to continuously monitor the drivers that may impact their internal models and processes. These include systems around Manufacturing, Warehouse Management, Transportation, Distribution, Logistics, Inventory, […]

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AI Application to Demonstrate K-Means Clustering Using H2O Wave
by h2oai February 25, 2022 Community H2O AI Cloud Wave

Note: this is a community blog post by Shamil Dilshan Prematunga. It was first published on Medium. In this blog, I am going to highlight how cool H2O Wave is, by demonstrating my application called “K means App” which was built using Wave 0.20.0. This is a simple application I have created to demonstrate one […]

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A Quick Introduction to PyTorch: Using Deep Learning for Stock Price Prediction
by h2oai February 23, 2022 H2O AI Cloud Neural Networks Technical Technical Posts Tutorials

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, let’s […]

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Introducing H2O Hydrogen Torch: A No-code Deep Learning Framework
by h2oai February 17, 2022 Computer Vision H2O AI Cloud NLP Product Updates

Over and over again we heard from customers, “deep learning is cool, but it’s hard and time consuming.” They kept asking “could someone just make it easier?” In typical “Maker” fashion, you ask, we deliver, H2O Hydrogen Torch. H2O Hydrogen Torch is a new product that enables data scientists and developers to train and deploy […]

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How to Create Your Spotify EDA App with H2O Wave
by h2oai February 9, 2022 H2O AI Cloud Technical Technical Posts Wave

In this article, I will show you how to build a Spotify Exploratory Data Analysis (EDA) app using H2O Wave from scratch. H2O Wave is an open-source Python development framework for interactive AI apps. You do not need to know Flask, HTML, CSS, etc. H2O Wave has ready-to-use user-interface components and charts, including dashboard templates, […]

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Mission Impossible: Improving Patient Care Through Automated Document Processing
by h2oai February 3, 2022 Document AI H2O AI Cloud Healthcare

Don’t tell Bob Rogers’ team something can’t be done. When Rogers embarked on an ambitious project to automate the processing of the more than 1.4 million electronically faxed documents received annually by the Center for Digital Health Innovation at the University of California, San Francisco (UCSF CDHI), advisors and vendors initially told him the project […]

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H2O.ai releases new H2O MLOps features that improves the explainability, flexibility and configuration of machine learning workflows.
by h2oai February 3, 2022 H2O AI Cloud MLOps

H2O.ai now provides data scientists and machine learning (ML) engineers even more powerful features that give greater control, governance, and scalability within their machine learning workflow – all available on our H2O AI Cloud. Now, H2O MLOps enables you to: Deploy model explanations in production Explainability is core to understanding ML model behavior and to deepen […]

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What Are Feature Stores and Why Are They Important?
by h2oai January 18, 2022 Feature Store H2O AI Cloud Product Updates

Machine learning (ML) models are only as good as the data fed into them. In tabular problems, the data is a collection of rows (samples) and columns (features). So, you could say that tabular ML models are only as good as the features fed into them. But how do you manage features? Can you share […]

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