Tag: Data Science

What Your CIO Needs to Know about Data Science

What would you rather be doing? Data science or DevOps? As a data scientist, your CIO may hear from you that model deployment is a challenge...

Domino for Good: Collaboration, Reproducibility, and Openness, in the Service of Societal Benefit

The Path of a Data Do-Gooder When I joined Domino Data Lab to lead the Domino for Good initiative a few months ago, it felt like the...

Domino now supports JupyterLab — and so much more

You can now run JupyterLab in Domino, using a new Domino feature that lets data scientists specify any web-based tools they want to run on top...

Humans in the Loop

This guest blog post from Paco Nathan dives into how people and machines collaborating together to perform work is real and not science fiction. Paco Nathan is...

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 executives, whether coming...

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 science team off...

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 may be interested...

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 engineering time spent...

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 challenges involved are...

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 video:   The...

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 AutoML to generate...

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 just data science....

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 parallel experimentation, data...

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