Multicore Data Science with R and Python
This article is an excerpt from the full video on Multicore Data Science in R and Python. Watch the full video to learn...read more
Fitting Gaussian Process Models in Python
Written by Chris Fonnesbeck, Assistant Professor of Biostatistics, Vanderbilt University Medical Center. You can view, fork, and play with this project on the...read more
Python 3.6 with Domino in Minutes
For Pythonistas like me, the holidays started a little early with today's release of Python 3.6. In case you haven't heard, Python 3.6...read more
Python for SAS Users: The pandas Data Analysis Library
This post is a chapter from Randy Betancourt's Python for SAS Users quick start guide. Randy wrote this guide to familiarize SAS users...read more
R vs. Python for Data Science
While the elections are over, some debates continue. R and Python are both popular programming languages for data scientists. Each has its advantages...read more
A Summary of Using k-NN in Production
This week, Domino’s Chief Data Scientist, Eduardo Ariño de la Rubia, presented a webinar: An Introduction to Using k-NN in Production. If you...read more
Join Us: An Introduction to Using k-NN in Production
Join us next Wednesday, October 5 for a webinar hosted by our Chief Data Scientist covering best practices for using k-NN in production....read more
Using Apache Spark to Analyze Large Neuroimaging Datasets
This article was written by Sergul Aydore, Ph.D., and Syed Ashrafulla, Ph.D. Sergul and Syed received their Ph.D.s in Electrical Engineering in 2014...read more
Announcing Enhanced Apache Spark Support
Domino now offers data scientists a simple, yet incredibly powerful way to conduct quantitative work using Apache Spark. Apache Spark has captured the...read more
Using R and Python for Common SAS Functions
SAS is the recognized incumbent in the analytics, statistics and data science tool space. As the software celebrates its 50th birthday this year,...read more
Visualizing Machine Learning with Plotly and Domino
This post was contributed by Chelsea Douglas, a Software Engineer at Plotly. Want to play with the code from this post? Visit the...read more
Open Source Winning Against Proprietary Data Science Vendors
With the recent publication of Gartner’s Magic Quadrant for Advanced Analytics, we wanted to know how proprietary data science software vendors were faring...read more
Visual Logic Authoring vs Code
At some point in their careers, almost every data scientist has written code to perform a series of steps, and thought, “It would...read more
Python 3 Support in Jupyter
Domino lets you spin up Jupyter notebooks (and other interactive tools) with one click, on powerful cloud hardware. We recently added beta support...read more
Building Interactive Dashboards with Jupyter
Welcome to Part II of "Advanced Jupyter Notebook Tricks." In Part I, I described magics, and how to calculate notebooks in "batch" mode...read more
Advanced Jupyter Notebook Tricks — Part I
I love Jupyter notebooks! They're great for experimenting with new ideas or data sets, and although my notebook "playgrounds" start out as a...read more
