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Recap of H2O World India 2023: Advancements in AI and Insights from Industry Leaders
by Parul Pandey May 29, 2023 AI4Good Community H2O World

On April 19th, the H2O World  made its debut in India, marking yet another milestone in its global journey. The conference gathered an array of notable experts and enthusiasts from deep learning, artificial intelligence, and data science. A broad spectrum of topics was covered, shedding light on the strides made in AI technology and its […]

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The H2O.ai Wildfire Challenge Winners Blog Series – Team Titans
by h2oai June 14, 2022 AI4Good Community

Note: this is a community blog post by Team Titans – one of the H2O.ai Wildfire Challenge winners. You can check out their app here. Background Forest fires have been getting worse in recent years. According to a report by the WWF, the duration of fire seasons across the globe has increased by 19% on average. […]

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The H2O.ai Wildfire Challenge Winners Blog Series – Team PSR
by h2oai May 31, 2022 AI4Good Community H2O Driverless AI Wave

Note: this is a community blog post by Team PSR – one of the H2O.ai Wildfire Challenge winners. This blog represents an experience we gained by participating in the H2O wildfire challenge. We need to mention that competing in this challenge is like a journey in a knowledge pool. For a person who is willing […]

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The H2O.ai Wildfire Challenge Winners Blog Series – Team Too Hot Encoder
by h2oai May 10, 2022 AI4Good Community

Note: this is a community blog post by Team Too Hot Encoder – one of the H2O.ai Wildfire Challenge winners. You can check out their app here. The Challenge The aim of the project is to predict the probability of wildfire occurrence in Turkey for each month in 2020. As a result of these predictions, […]

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The H2O.ai Wildfire Challenge Winners Blog Series – Team HTB
by h2oai May 10, 2022 AI4Good Community Computer Vision Wave

Note: this is a community blog post by Team HTB – one of the H2O.ai Wildfire Challenge winners. You can check out their app here. The Challenge The purpose of the challenge was to develop an AI application to improve the forecast of bushfires and wildfires, with the main aim of reducing the human losses […]

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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 Beginner’s View of H2O MLOps
by h2oai January 15, 2022 Community H2O AI Cloud MLOps

Note: this is a community blog post by Shamil Dilshan Prematunga. It was first published on Medium. When we step into the AI application world it is not one easy step. It has a series of tasks that are combined. To convert an idea to the workable stage we must fulfill the requirements in each […]

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H2O.ai Tools for a Beginner
by h2oai November 30, 2021 Beginners Community H2O H2O Driverless AI Wave

Note: this is a community blog post by Shamil Dilshan Prematunga. It was first published on Medium. Hey, this is not a deep technical blog. I’d like to share the experience I had with H2O tools when I was studying Machine Learning. As a Research Engineer, I am currently working on an area based on […]

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Interning with H2O.ai- Robie Gonzales
by h2oai August 31, 2021 Community Personal

This blog post is by Robie Gonzales, who has interned with us for the last 8 months. Thank you for your awesome work, Robie!   When I started my internship eight months ago, I had minimal knowledge about machine learning and artificial intelligence. Over the course of these months, my experience as a Full Stack Developer […]

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What are we buying today?
by h2oai July 5, 2021 Community Wave

Note: this is a guest blog post by Shrinidhi Narasimhan. It’s 2021 and recommendation engines are everywhere. Be it online shopping, food, music, and even online dating, the race to provide personalized recommendations to the user has many contenders. The technology of giving users what they need based on their buying strategies or digital interactions […]

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