Benefits of scaling machine learning
Machine learning is evolving to utilize new hardware, such as GPUs and large commodity clusters. Reza Zadeh presents two projects that have benefitted greatly through scaling: obtaining leading results on the Princeton ModelNet object recognition task and matrix computations and optimization in Apache Spark.
| Talk Title | Benefits of scaling machine learning |
| Speakers | Reza Zadeh (Matroid |
| Conference | O’Reilly Artificial Intelligence Conference |
| Conf Tag | |
| Location | New York, New York |
| Date | September 26-27, 2016 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Machine learning is evolving to utilize new hardware, such as GPUs and large commodity clusters. University and industry researchers have been using these new computing platforms to scale machine learning across many dimensions. Reza Zadeh presents two projects that have benefitted greatly through scaling: obtaining leading results on the Princeton ModelNet object recognition task and matrix computations and optimization in Apache Spark.
