Incredible Results with Intel Distribution for Python and Domino Data Labs – Intel on AI – Episode 2

December 21st, 2018 |
Image for FaceBook

 
Share this post:
Facebook | Twitter | Google+ | LinkedIn | Pinterest | Reddit | Email
 
This post can be linked to directly with the following short URL:


 
The audio player code can be copied in different sizes:
144p, 240p, 360p, 480p, 540p, Other


 
The audio player code can be used without the image as follows:


 
This audio file can be linked to by copying the following URL:


 
Right/Ctrl-click to download the audio file.
 
Subscribe:
Connected Social Media - iTunes | Spotify | Google | Stitcher | TuneIn | Twitter | RSS Feed | Email
Intel - iTunes | Spotify | RSS Feed | Email
Intel on AI - iTunes | Spotify | RSS Feed | Email
 

Join Domino Data Labs Director of Product Mac Steele on another edition of Intel on AI. Mac illustrates the workflow challenges that many data scientists face today and how Domino’s Data Science Platform enables data science and quantitative research teams to create mature, disciplined, and scalable processes for developing models and algorithms. He also discusses the work that Domino has done on the Intel Distribution for Python and the incredible results that Domino achieved running workloads on the distribution.

To learn more, visit:
dominodatalab.com
blog.dominodatalab.com/intels-python-distribution-is-smoking-fast-and-now-its-in-domino

Intel AI Builders:
builders.intel.com/ai

Tags: , , , , , , , , , , , , , , ,
 
Posted in: Artificial Intelligence, Intel, Intel on AI