H2O.ai Blog
By: H2O.ai
Math Algorithms have primarily been the domain of desktop data science. With the success of scalable algorithms at Google, Amazon, and Netflix, there is an ever growing demand for sophisticated algorithms over big data. In this talk, we get a ringside view in the making of the world's most scalable and fastest machine learning framework, H2O, and the performance lessons learnt scaling it over EC2 for Netflix and over commodity hardware for other power users.
Top 10 Performance Gotchas is about the white hot stories of i/o wars, S3 resets, and muxers, as well as the power of primitive byte arrays, non-blocking structures, and fork/join queues. Of good data distribution & fine-grain decomposition of Algorithms to fine-grain blocks of parallel computation. It's a 10-point story of the rage of a network of machines against the tyranny of Amdahl while keeping the statistical properties of the data and accuracy of the algorithm.
Update
Slides from the talk
AT&T panel: AI as a Service (AIaaS)
Mark Austin, Vice President of Data Science at AT&T joined us on stage at H2O
March 22, 2023 - by Liz Pratusevich
[Infographic] Healthcare providers: How to avoid AI “Pilot-Itis”
From increased clinician burnout and financial instability to delays in elective and preventative care, the
March 15, 2023 - by
Deploy a WAVE app on an AWS EC2 instance
This article was originally published by Greg Fousas and Michelle Tanco on Medium and reviewed by
March 10, 2023 - by Michelle Tanco and Greg Fousas
How Horse Racing Predictions with H2O.ai Saved a Local Insurance Company $8M a Year
In this Technical Track session at H2O World Sydney 2022, SimplyAI's Chief Data Scientist Matthew
March 8, 2023 - by Liz Pratusevich
