Subject archive for "machine-learning," page 24

We’re excited to announce support for Amazon’s X1 instances. Now in Domino, you can do data science on machines with 128 cores and 2TB of RAM — with one click:

This talk took place at the Domino Data Science Pop-up in Los Angeles, CA on September 14, 2016

In this recorded webcast, Daniel Emaasit introduces model-based machine learning and related concepts, practices and tools such as Bayes' Theorem, probabilistic programming, and RStan.

This blog post follows my journey from traditional statistical modeling to Machine Learning (ML) and introduces a new paradigm of ML called Model-Based Machine Learning (Bishop, 2013). Model-Based Machine Learning may be of particular interest to statisticians, engineers, or related professionals looking to implement machine learning in their research or practice.

This talk took place at the Domino Data Science Pop-up in Austin, TX on April 13, 2016

I recently had the chance to team up with Domino Data Lab to produce a webinar that demonstrated how to use Plotly to create data visualizations inside of Domino notebooks. In this post, I'll share a few of the benefits that I discovered while using Plotly and Domino together.