H2O.ai Blog
By: h2oai
H2O fans, we have a day of data delights in store you for you tomorrow! The first day of H2O World is totally devoted to demos and walkthroughs designed to help YOU get the most out of your data. In fact, we have so many sessions planned that unless you have Hermione’s Time Turner, you won’t be able to attend them all. So choose wisely! A half day hackathon will kickoff at 9 am and last until 12 pm. At the same time the Erdos stage will be hosting an introduction to the H2O platform for you newcomers followed by an explanation of how to install the platform and introductions to data science, R, Python and the Flow UI. A panel on the challenges and pitfalls of data science and a talk on Gradient Method Boosting and Random Forest will follow before we even get to lunch! Last, but certainly not least, the Ramanujan stage will feature a morning packed with an update on the H2O platform for veteran users and an explanation of how to upgrade the software. This will be followed by an overview of the “top 10 data science pitfalls,” an update on what’s new in R, Python and Flow, and talks on GLM and Python Pipelines.
Time is precious, so even the lunch hour gets used at H2O World! Enjoy your meal while you hear from our very own Chief Architect, Arno Candel. Silicon Valley Data Science’s Chen Huang will kickoff the afternoon at Boole with a talk on how to ask smarter questions to make better business decisions. Boole’s afternoon will be graced by talks on Sparkling Water and building smarter applications. Although the morning’s talks on the Erdos stage will be a tough act to follow, we’ll be making an attempt with a series of awesome talks on Deep Learning, GLM, Ensembles, Sparkling Water and building smart applications, plus a panel on competitive data science! Likewise, the Ramanujan stage will be putting on a strong effort in the afternoon. Ramanujan will feature talks on using H2O with Databricks Cloud, GBM and Random Forest, GLRM, migrating proprietary stacks to open source H2O, Deep Learning and a panel discussion on Smart Applications!
Questions? Tweet us @h2oai #h2oworld
H2O LLM DataStudio Part II: Convert Documents to QA Pairs for fine tuning of LLMs
Convert unstructured datasets to Question-answer pairs required for LLM fine-tuning and other downstream tasks with
September 22, 2023 - by Genevieve Richards, Tarique Hussain and Shivam Bansal
Building a Fraud Detection Model with H2O AI Cloud
In a previous article[1], we discussed how machine learning could be harnessed to mitigate fraud.
July 28, 2023 - by Asghar Ghorbani
A Look at the UniformRobust Method for Histogram Type
Tree-based algorithms, especially Gradient Boosting Machines (GBM's), are one of the most popular algorithms used.
July 25, 2023 - by Hannah Tillman and Megan Kurka
H2O LLM EvalGPT: A Comprehensive Tool for Evaluating Large Language Models
In an era where Large Language Models (LLMs) are rapidly gaining traction for diverse applications,
July 19, 2023 - by Srinivas Neppalli, Abhay Singhal and Michal Malohlava
