Data Science Blog | Data Scientists (3)

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...

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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...

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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, every...

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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, and as a result, the...

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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 least...

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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 applications...

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Deep Learning on GPUs without the Environment Setup in Domino

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

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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...

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Enabling Data Science Agility with Docker

This post describes how Domino uses Docker to solve a number of interconnected problems for data scientists and researchers, related to environment...

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Python vs. R for Data Science

R and Python are both popular open source programming languages for data scientists. Each has its advantages for performing data science tasks. So,...

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High-performance Computing with Amazon's X1 Instance

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...

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The "Joel Test" for Data Science

It's the sixteenth anniversary of Joel Spolsky's "Joel Test," which he described as a "highly irresponsible, sloppy test to rate the quality of a...

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Data Science Platform: What is it? Why is it Important?

As more companies recognize the need for a [data science platform], more vendors are claiming they have one. Increasingly, we see companies...

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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...

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Data Science: Just One More Way That Donald Trump is Different

If you’re a data scientist interested in working in politics, don’t bother applying to the Trump campaign — but Hillary has a job for you. In a...

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The Real Value of Containers for Data Science

Every year, $50 of your taxes is invested in research that can't be reproduced.Erik Andrejko, VP Science, The Climate Corporation, speaking at...

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Simplify Data Access and Publish Model Results in Snowflake Using Domino Data Lab