Domino Data Science Blog

Data Science Trends, Tools, and Best Practices

The Cost of Doing Data Science on Laptops

At the heart of the data science process are the resource intensive tasks of modeling and validation. During these tasks, data scientists more


‘Lean’ Data Science

In this Data Science Popup session, Noelle Sio, Principal Data Scientist at Pivotal, explains how to apply Lean methodology to data science. more


Benchmarking Predictive Models

It's been said that debugging is harder than programming. If we, as data scientists, are developing models ("programming") at the limits of more


Coatue Management Leads $27 Million Investment Round in Domino

We’re pleased to announce that Coatue Management has led a $27 million funding round for Domino, which included our previous investors Sequoia Capital, more

Data Science on AWS: Benefits and Common Pitfalls

More than two years ago, we wrote about the misguided fear of the cloud among many enterprise companies. How quickly things change! Today, more


Numenta Anomaly Benchmark: A Benchmark for Streaming Anomaly Detection

Written by Subutai Ahmad, VP Research at Numenta. With sensors invading our everyday lives, we are seeing an exponential increase in the more

,   ,   ,   

Principles of Collaboration in Data Science

Data science is no longer a specialization of a single person or small group. It is now a key source of competitive advantage, more


Building a Model is the Least Important Part of Your Job

In this Data Science Popup session, Kimberly Shenk, Director of Data Science Solutions at Domino Data Lab, explains why building models is more


AI in the Enterprise: Making Corporations Smart Again

In this Data Science Popup session, Danny Lange, VP of AI and Machine Learning at Unity Technologies, gives an inside look at more

,   ,   

Deep Learning on GPUs without the Environment Setup

We have seen an explosion of interest among data scientists who want to use GPUs for training deep learning models. While the more

,   ,   

Data Science at Instacart: Making On-Demand Profitable

In this Data Science Popup session, Jeremy Stanley, VP of Data Science at Instacart, gives an inside look at how Instacart uses data more

,   ,   

Practical Data Science at Gusto and General Assembly

In this Data Science Popup panel led by Michael Manapat, Product and Machine Learning at Stripe, we learn about practical applications of more


How Atlassian Uses Data Science to Improve Collaboration

Christy Bergman, Data Scientist at Atlassian, gives an inside look at how they use data science to improve user onboarding and collaboration. more


Introducing Domino 2.0

Web-scale Model Deployment and Much More When we began building Domino, we believed we would make the best product by deeply understanding 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 more


Achieving Reproducibility with Conda and Domino Environments

Managing “environments” (i.e., the set of packages, configuration, etc.) is a critical capability of any Data Science Platform. Not only does environment more

,   ,   ,   
Next page