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 […]

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 […]

Datatable is a python library for manipulating tabular data. It supports out-of-memory datasets, multi-threaded data processing and has a flexible API. If this reminds you of R’s data.table, you are spot on because Python’s datatable package is closely related to and inspired by the R library. The release of v1.0.0 was done on 1st July, 2021 and it’s probably […]

Today, we are excited to announce integrations with Snowflake’s Snowpark and Java UDFs, Snowflake’s new developer experience. This essentially opens up access to Snowflake’s Data Marketplace to data scientists and developers, now allowing 3rd party unique datasets that can help improve model accuracy and deliver better business outcomes to be included in their often standard notebook based programming approaches.

It is impossible to deploy successful AI models without taking into account or analyzing the risk element involved. Model overfitting, perpetuating historical human bias, and data drift are some of the concerns that need to be taken care of before putting the models into production. At H2O.ai, explainability is an integral part of our ML […]

Harnessing AI’s true potential by enabling every employee, customer, and citizen with sophisticated AI technology and easy-to-use AI applications. Democratization is an essential step in the development of AI, and AutoML technologies lie at the heart of it. AutoML tools have played a pivotal role in transforming the way we consume and understand data. Given […]

Managing large datasets on Kaggle without fearing about the out of memory error

Successful AI is a business process. Even the most sophisticated models, the latest algorithms, and highly experienced AI experts cannot make AI a practical success unless it is connected to a meaningful business goal. To make that happen, you need a good interaction between those with knowledge of the business and with the AI team. […]

At H2O.ai, we have been busy. Not only do we have our most significant new software launch coming up (details here), but we also are thrilled to announce the latest release of our flagship enterprise platform H2O Driverless AI 1.9.1. With that said, let’s jump into what is new: Faster Python scoring pipelines with embedded […]

Create model documentation for Supervised learning models in H2O-3 and Scikit-Learn — in minutes. The Federal Reserve’s 2011 guidelines state that without adequate documentation, model risk assessment and management would be ineffective. A similar requirement is put forward today by many regulatory and corporate governance bodies. Thus model documentation today is more of a necessity than a choice. […]