Domino Data Science Blog

Data Science Trends, Tools, and Best Practices

Measuring Data Science Business Value

This blog post covers metrics that help data science leaders ensure their team’s work is aligned to business value. Data science managers and...read more

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New G3 Instances in AWS – Worth it for Machine Learning?

We benchmarked AWS’s new G3 instances for deep learning tasks and found they significantly outperform the older P2 instances. The new G3 instances...read more

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Quick Tips for Getting A Data Science Team Off the Ground

This blog post provides a video followed by concise tips for leaders at startups and early-stage companies to consider when getting a data...read more

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Recommender Systems through Collaborative Filtering

This is a technical deep dive of the collaborative filtering algorithm and how to use it in practice. From Amazon recommending products you...read more

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Data Science != Software Engineering

Domino’s guide, “What Engineering Leaders Need to Know About Data Science”, provides insights to help engineering leaders increase data science productivity and decrease...read more

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Emotional Intelligence for Data Science Teams

We surveyed and interviewed some of our most successful customers to learn how they align their data science team with their business. The...read more

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Data Science in the Enterprise: Insights from eBay, Stitch Fix, Teleon Health, and RISELab

We recently hosted a panel discussion with several data science leaders about organizational design and tooling for enterprise data science. Watch the full...read more

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Model Deployment Powered by Kubernetes

In this article we explain how we’re using Kubernetes to enable data scientists to deploy predictive models as production-grade APIs. Background Domino lets...read more

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Scaling Machine Learning to Modern Demands

This is a Data Science Popup session by Hristo Spassimirov Paskov, Founder & CEO of ThinkFast.   Summary Machine learning has revolutionized the...read more

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Improving Zillow’s Zestimate with 36 Lines of Code

Zillow and Kaggle recently started a $1 million competition to improve the Zestimate. We are releasing a public Domino project that uses H2O’s...read more

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Data Scientists are Analysts are Software Engineers

In this Data Science Popup session, W. Whipple Neely, Director of Data Science at Electronic Arts, explains why data scientists have responsibilities beyond...read more

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Horizontal Scaling for Parallel Experimentation

The amount of time data scientists spend waiting for experiment results is the difference between making incremental improvements and making significant advances. With...read more

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What Data Scientists Should Know About Hiring, Sharing, and Collaborating

In this post we summarize some of our most recent and favorite answers on Quora to questions from the community about hiring junior...read more

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Fighting Child Exploitation with Data Science

Every day, 100,000 new escort ads are posted online. That is according to Thorn, a nonprofit that fights child sexual exploitation through technology...read more

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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

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Imbalanced Datasets

Imagine you are a medical professional who is training a classifier to detect whether an individual has an extremely rare disease. You train...read more

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Git Integration in Domino

We recently released new functionality that provides first-class integration between Domino and git. This post describes the new feature, and describes our perspective...read more

Succeeding with Alternative Data and Machine Learning

Perhaps the biggest insight in feature engineering in the last decade was the realization that you could predict a person's behavior by understanding...read more

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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 will...read more

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‘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.  ...read more

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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 our...read more

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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,...read 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,...read more

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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 availability...read more

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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,...read more

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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 the...read more

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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 practical...read more

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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 libraries...read more

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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 science...read more

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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 data...read more

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