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Explaining models built in H2O-3 — Part 1
Machine Learning explainability refers to understanding and interpreting the decisions and predictions made by a machine learning model. Explainability is crucial for ensuring the trustworthiness and transparency of machine learning models, particularly in high-stakes situations where the consequences of incorrect predictions can be signi...
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H2O.ai at NeurIPS 2022
H2O.ai is proud to participate in the 36th Conference on Neural Information Processing Systems (NeurIPS) 2022, one of the biggest and most prestigious international conferences in artificial intelligence. NeurIPS 2022 will be a Hybrid Conference from Monday, November 28th through Friday, December 9th, with an in-person event at the New Or...
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A Brief Overview of AI Governance for Responsible Machine Learning Systems
Our paper “A Brief Overview of AI Governance for Responsible Machine Learning Systems” was recently accepted to the Trustworthy and Socially Responsible Machine Learning (TSRML) workshop at NeurIPS 2022 (New Orleans). In this paper, we discuss the framework and value of AI Governance for organizations of all sizes, across all industries a...
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H2O World Dallas Customer Talks
After three long years of not having an #H2OWorld, we finally held our first one in Sydney to a sold-out crowd! We then followed it up with H2O World Dallas in the same week! It was a fantastic and jam-packed event with customers, partners, colleagues, and community members sharing how they leverage H2O.ai to accelerate and transform AI l...
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New in Wave 0.24.0
Another Wave release has arrived with quite a few exciting new features. Let’s quickly go over the biggest ones.Wave init CLIHow many times you wanted to build a Wave app fast, but then you realized you need to start from scratch, copy over the skeleton of your app and work up from there? For these exact reasons, we introduced a new wave...
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H2O.ai Raises $40 Million to Democratize Artificial Intelligence for the Enterprise
Series C round led by Wells Fargo and NVIDIA MOUNTAIN VIEW, CA – November 30, 2017 – H2O.ai, the leading company bringing AI to enterprises, today announced it has completed a $40 million Series C round of funding led by Wells Fargo and NVIDIA with participation from New York Life, Crane Venture Partners, Nexus Venture Partners and Tra...
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H2O.ai Placed Furthest in Completeness of Vision in 2021 Gartner Data Science and Machine Learning Magic Quadrant in the Visionaries Quadrant. -- Copy
At H2O.ai, our mission is to democratize AI, and we believe driving value from data is a team sport. Data needs to be organized and prepared, often by data engineers, and then models need to be built by data scientists. With models built, they need to be put into production and maintained by IT and DevOps personnel. Finally, these models...
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H2O.ai Expands Market Footprint in Healthcare AI by Signing Hackensack Meridian Health and Other Key Providers
We’re excited to attend the HLTH conference this week in Las Vegas, NV. This industry event has quickly become the go-to event for c-level executives across all parts of the healthcare industry. It’s both incredible and inspiring to see how quickly the event has grown in its five years, and that’s why we’re excited to share some news abou...
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An Introduction to H2O Wave Table
H2O Wave is a Python package for creating realtime ML/AI applications for a wide variety of data science workflows and industry use cases. Data scientists view a significant amount of data in tabular form. Running SQL queries, pivoting data in Excel or slicing a pandas dataframe are pretty much bread-and-butter tasks. With the growing u...
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Saving Zebras: “Their stripes are like fingerprints. No two are alike.”
It’s been said that a picture is worth a thousand words. But to Tanya Berger-Wolf, a picture is far more valuable than that. To Berger-Wolf, photos, images and videos are key to protecting biodiversity and entire species around the world. Scientists have known for years that we are in the middle of the sixth mass extinction on our planet...
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H2O Managed Cloud With AWS PrivateLink is Now Generally Available
A n essential part of responsibly practicing machine learning is understanding how you secure your data. H2O Managed Cloud offers a single-tenant cloud environment with multiple layers of security – but how do you get your data securely into the cloud for training, and how do you score sensitive information without exposing it to the inte...
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H2O.ai Receives Innovation Award for 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 a year ago in February 2022...
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AI for Good: PetFinder.my Levels Up Furry Matchmaking
Nothing tugs at the heart strings quite like a poster in your neighborhood about a missing cat or dog. For years, technology has enabled lost pets to be reunited with their families in the form of a small microchip that contains an owner’s contact information. Now some organizations are turning to emerging technology to help the millions ...
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H2O Wave joins Hacktoberfest
It’s that time of the year again. A great initiative by DigitalOcean called Hacktoberfest that aims to bring more people to open source is about to start. Hacktoberfest incentives people to make at least 4 valuable contributions (pull requests) to an open source repository and get the reward i...
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Three Keys to Ethical Artificial Intelligence in Your Organization
There’s certainly been no shortage of examples of AI gone bad over the past few years–enough to give everyone pause on how (and if) this technology can truly be used for good. If it’s not Facebook selling data of its users , it’s self-driving cars from Uber that can’t recognize pedestrians in time to slow down or stop. So while the uses ...
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Using GraphQL, HTTPX, and asyncio in H2O Wave
Today, I would like to cover the most basic use case for H2O Wave, which is collecting a bunch of data and displaying them in a nice and clean way. The goal is to build a simple dashboard that shows how H2O Wave compares against its main competitors in terms of popularity and codebase metrics. The main competitors in question are: Stre...
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머신러닝 자동화 솔루션 H2O Driveless AI를 이용한 뇌에서의 성차 예측
Predicting Gender Differences in the Brain Using Machine Learning Automation Solution H2O Driverless AI아동기 뇌인지 발달은 기억, 주의력, 사회성 등 고등 인지 기능에 영향을 미치고, 청소년기와 성인기의 뇌 발달로까지 이어집니다.Brain cognitive development in childhood affects higher cognitive functions such as memory, attention, and sociability, and leads to brain development in adolescence ...
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Make with H2O.ai Recap: Validation Scheme Best Practices
Data Scientist and Kaggle Grandmaster, Dmitry Gordeev, presented at the Make with H2O.ai session on validation scheme best practices, our second accuracy masterclass. The session covered key concepts, different validation methods, data leaks, practical examples, and validation and ensembling. Key Concepts While the validation topics cove...
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Integrating VSCode editor into H2O Wave
Let’s have a look at how to provide our users with a truly amazing experience when we need to allow them to edit pieces of code or configuration. We will use one of the most popular and well-known code editors called Monaco editor which powers VSCode. The resulting app will have the editor on the left side and a markdown card on the righ...
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5 Tips for Improving Your H2O Wave Apps
Let’s quickly uncover a few simple tips that are quick to implement and have a big impact. Do not recreate navigation, update it The most common error I see across the Wave apps is ugly navigation that seems to be laggy. Laggy navigation. The reason for this behavior is that we want to save the clicked value and set it e...
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Make with H2O.ai Recap: Getting Started with H2O Document AI
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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Advice for Those Getting Started on Their AI Journey
H2O.ai Innovation Day Summer ‘22 included a customer insights panel made up of Prince Paulraj, AVP, Data Insights and Chief Data Officer at AT&T , Chris Throop, Managing Director and Global Head of Data Science at Castleton Commodities International and Sean Otto, Director of Advanced Analytics at AES . One of the questions panelists...
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AES Transforms its Energy Business with AI and H2O.ai
AES is a leading renewable-energy company with global operations. The business produces energy and distributes energy for both private, public, and governmental organizations. AES was recently named one of the World’s Most Ethical Companies for the ninth straight year and won the Edison Electric Institute’s (EEI’s) Edison Award– the indus...
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The H2O.ai Wildfire Challenge Winners Blog Series - Team Titans
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 .BackgroundForest 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. The fire season has been sta...
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Improving Machine Learning Operations with H2O.ai and Snowflake
Operationalizing models is critical for companies to get a return on their machine learning investments, but deployment is only one part of that operationalization process. With H2O.ai’s latest Snowflake Integration Application, authorized Snowflake users can easily deploy models, significantly reducing deployment timelines and enabling a...
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Improving Manufacturing Quality with H2O.ai and Snowflake
Manufacturers are rapidly expanding their machine learning use cases by leveraging the deep integration between Snowflake’s Data Cloud and the H2O AI Cloud. Many current manufacturing quality checks require that sensor data and image data be processed and analyzed separately. Standard tooling presents challenges in storing and referencin...
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The H2O.ai Wildfire Challenge Winners Blog Series - Team PSR
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 to get the knowledge of buildin...
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Developing and Retaining Data Science Talent
It’s been almost a decade since the Harvard Business Review proclaimed that “Data Scientist” is the sexiest job of the 21st century. Since then, there has been an explosion of job opportunities and university degree programs claiming to give students all of the skills they need to accel in the field of data science . Yet, the scarcity of ...
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The H2O.ai Wildfire Challenge Winners Blog Series - Team HTB
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 that these phenomena can cause...
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The H2O.ai Wildfire Challenge Winners Blog Series - Team Too Hot Encoder
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 ChallengeThe 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, it is aimed to carry out more intensive...
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Bias and Debiasing
An important aspect of practicing machine learning in a responsible manner is understanding how models perform differently for different groups of people, for instance with different races, ages, or genders. Protected groups frequently have fewer instances in a training set, contributing to larger error rates for those groups. Some models...
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Comprehensive Guide to Image Classification using H2O Hydrogen Torch
In this article, we will learn how to build state-of-the-art models in computer vision and natural language processing within a couple of minutes using H2O Hydrogen Torch. Introduction to H2O Hydrogen Torch H2O Hydrogen Torch (HT) aims to simplify building and deploying deep learning models for a wide range of tasks in computer vision...
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Democratizing Lending through AI
According to the Federal Reserve , nearly 40% of adults in the U.S. sought credit in 2020, only slightly fewer than those who applied in the previous pre-pandemic year; among those who applied more than 1 in 10 were denied credit or were approved for less than they had sought. The reasons behind these denials are many, however, the same r...
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Setting Up Your Local Machine for H2O AI Cloud Wave App Development
This article is for users who would like to build H2O Wave apps and publish them in the App Store within the H2O AI Cloud (HAIC). We will walk through how to set up your local machine for HAIC Wave App development. Instructions Developing with Wave H2O Wave is a framework for building frontends using only python or R. In this article...
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Data Science with H2O.ai: An Introduction to Machine Learning and Predictive Modeling
Our own Jonathan Farland recently recorded a talk about machine learning and predictive modeling. In his talk, Jon also gave an overview of open source H2O and H2O AI Cloud . This video is a great resource for getting up to speed with the latest technology from H2O in half an hour. Some of you may prefer to go through the slides while l...
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Vaccine NLP
A population and public health NLP solution from H2O.ai Health Powered by NVIDIA GPUs and NVIDIA AI Social media platforms such as Twitter and Reddit have become invaluable tools for communication between individuals or groups and are widely used globally. As messages on these platforms can instantly be accessed by all users and remain on...
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Gene Mutation AI
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 ...
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Expression Biomarker AI
A drug discovery AI solution from H2O.ai Health Powered by NVIDIA GPUs and NVIDIA AI In a healthy individual, each cell type has its own metabolic program, carrying out specific functions. This organization is disrupted in disease, either as a cause or a result of it, or both, and this disruption is reflected in the patient’s gene exp...
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Gene Mutation AI and the Future of Cancer Research
A genomics AI solution from H2O.ai Health Powered by NVIDIA GPUs and NVIDIA AI Cancer is a multifactorial disease with exact causes we have only recently begun to understand. While inherited germline mutations are understood to create a genetic predisposition to the disease, stochastic accumulation of somatic mutations over a person’s...
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Tackling Illegal, Unreported, and Unregulated (IUU) Fishing with AI
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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Unsupervised Learning Metrics
That which is measured improves – Karl Pearson , Mathematician. Almost everyone has heard of accuracy, precision, and recall – the most common metrics for supervised learning . But not as many people know the metrics for unsupervised learning . So, in this article, we will take you through the most common methods and how to implement th...
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Demand Sensing with H2O Wave : Supply Chain Intelligence and Inventory Optimization for Retail, CPG, and FMCG Industries
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 ...
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AI Application to Demonstrate K-Means Clustering Using H2O 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 of the unsupervised lea...
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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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Introducing H2O Hydrogen Torch: A No-code Deep Learning Framework
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 state-of-t...
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How to Create Your Spotify EDA App with H2O 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 templa...
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H2O.ai releases new H2O MLOps features that improves the explainability, flexibility and configuration of machine learning workflows.
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 understa...
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Mission Impossible: Improving Patient Care Through Automated Document Processing
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 t...
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An Introduction to Unsupervised Machine Learning
There are three major branches of machine learning (ML): supervised, unsupervised, and reinforcement. Supervised learning makes up the bulk of the models businesses use, and reinforcement learning is behind front-page-news-AI such as AlphaGo . We believe unsupervised learning is the unsung hero of the three, and in this article, we brea...
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Revisiting the Miracle of Istanbul
IntroductionOn May 25th, 2005, the UEFA Champions League final between AC Milan and Liverpool was held at the Atatürk Olympic Stadium in Istanbul. The match is still considered one of the greatest finals in football history. AC Milan took a 3-0 lead in the first half but Liverpool made a miraculous comeback in the second half to tie the g...
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Install H2O Wave on AWS Lightsail or EC2
Note : this blog post was first published on Thomas’ personal blog Neural Market Trends . I recently had to set up H2O’s Wave Server on AWS Lightsail and build a simple Wave App as a Proof of Concept. If you’ve never heard of H2O Wave then you have been missing out on a new cool app development framework. We use it at H2O to build AI-ba...
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What Are Feature Stores and Why Are They Important?
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 them across the company? Can you easily reu...
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A Beginner’s View of H2O 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 stage. When we look at existing platforms, t...
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Shapley Values - A Gentle Introduction
If you can’t explain it to a six-year-old, you don’t understand it yourself. – Albert Einstein One fear caused by machine learning (ML) models is that they are blackboxes that cannot be explained. Some are so complex that no one, not even domain experts, can understand why they make certain decisions. This is of particular concern when s...
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The Bond Market & AI: How MarketAxess Brings it All Together
The vast majority of the equities market trades electronically while the bond market is still in its infancy by comparison, but MarketAxess is seeking to change that. Recently, we hosted a virtual event with the MarketAxess team where they explained how they were solving challenges in the world’s largest bond marketplace while leveraging ...
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H2O Release 3.36 (Zorn)
There’s a new major release of H2O, and it’s packed with new features and fixes! Among the big new features in this release are Distributed Uplift Random Forest, an algorithm typically used in marketing and medicine to model uplift, and Infogram, a new research direction in machine learning that focuses on interpretability and fairness in...
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1st Place Winner's Blog - Kaggle 2021 Data Science and Machine Learning Survey
Kaggle, the largest global community of data scientists, conducted the 5th annual industry-wide survey that presented a truly comprehensive view of the state of data science and machine learning. A total of 25,973 responses were collected from participants from over 60 countries. Kaggle also launched the Data Science Survey Challenge in w...
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