December 23rd, 2017

H2O4GPU Hands-On Lab (Video) + Updates

RSS icon RSS Category: GPU, H2O4GPU
Kmeans on h204gpu

Nvidia h2o.ai
Deep learning algorithms have benefited significantly from the recent performance gains of GPUs. However, it has been uncertain whether GPUs can speed up powerful classical machine learning algorithms such as generalized linear modeling, random forests, gradient boosting machines, clustering, and singular value decomposition.
Today I’d love to share another interesting presentation from #H2OWorld focused on H2O4GPU.
H2O4GPU is a GPU-optimized machine learning library with a Python scikit-learn API tailored for enterprise AI. The library includes all the CPU algorithms from scikit-learn and also has selected algorithms that benefit greatly from GPU acceleration.
In the video below, Jon McKinney, Director of Research at H2O.ai, discussed the GPU-optimized machine learning algorithms in H2O4GPU and showed their speed in a suite of benchmarks against scikit-learn run on CPUs.

A few recent benchmarks include:
Kmeans on h204gpu
kmeans clustering graph
Gradient boosting machine
Gradient boosting machine graph
We’re always receiving helpful feedback from the community and making updates.
Exciting updates to expect in Q1 2018 include:

  • Aggregator
  • DBSCAN
  • Kalman Filters
  • K-nearest neighbors
  • Quantiles
  • Sort

If you’d like to learn more about H2O4GPU, I invite you to explore these helpful links:

Happy Holidays!
Rosalie

Leave a Reply

+
Developing and Retaining Data Science Talent

It’s been almost a decade since the Harvard Business Review proclaimed that “Data Scientist” is

May 12, 2022 - by Jon Farland
+
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

May 10, 2022 - by H2O.ai Team
+
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

May 10, 2022 - by H2O.ai Team
+
Bias and Debiasing

An important aspect of practicing machine learning in a responsible manner is understanding how models

April 15, 2022 - by Kim Montgomery
+
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

March 29, 2022 - by H2O.ai Team
+
H2O Wave Snippet Plugin for PyCharm

Note: this blog post by Shamil Dilshan Prematunga was first published on Medium. What is PyCham? PyCharm

March 24, 2022 - by Shamil Prematunga

Start Your Free Trial