H2O.ai Blog
July 20th, 2013
Implement a Machine Learning Algorithm in 2hrs
RSS
Share
Category: Uncategorized [EN]
By: H2O.ai
We will take a simple yet popular & powerful math algorithm such as Linear Regression and implement a distributed version in 2hrs.
Pre-requisites: Knowledge of Java or R
See: http://h2o.0xdata.com/
Warning: Only software programmers ignore Warnings! 🙂 That said, this seriously is a very hands on java-intense exercise. Extinguished engineers may not enjoy the proceedings.
http://www.meetup.com/San-Francisco-Big-Data-Science/events/121535782/
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
