The Anaconda Blog

Data Science Blog
Introducing Skein: Deploy Python on Apache YARN the Easy Way

By Jim Crist *This post is reprinted with permission from Jim Crist’s blog. The original post can be found here.In this post, I introduce Skein, a new tool and library for deploying applications on Apache YARN. I…

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Company Blog
Deploying Machine Learning Models is Hard, But It Doesn’t Have to Be

With free, open source tools like Anaconda Distribution, it has never been easier for individual data scientists to analyze data and build machine learning models on their laptops. So why does deriving actual business value…

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Data Science Blog
Intake: Taking the Pain out of Data Access

By Martin Durant, Anaconda Software Engineer We are pleased to announce the release of Intake, a simple data access layer and cataloging system. This article contains code executable with Binder:  Introduction Defining and loading data-sets…

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Company Blog
Faster Machine Learning—Deep Learning with GPUs

The Big Deal With GPUsIf you’ve been following data science and machine learning, you’ve probably heard the term GPU. But what exactly is a GPU? And why are they so popular all of a sudden?…

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Company Blog
New Release of Anaconda Enterprise features Expanded GPU and Container Usage

Anaconda, Inc. is thrilled to announce the latest release of Anaconda Enterprise, our popular AI/ML enablement platform for teams at scale. The release of Anaconda Enterprise 5.2 adds capabilities for GPU-accelerated, scalable machine learning and…

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Data Science Blog
Deep Learning with GPUs in Anaconda Enterprise

AI is a hot topic right now. While a lot of the conversation surrounding advanced AI techniques such as deep learning and machine learning can be chalked up to hype, the underlying tools have been…

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Company Blog
Scalable Machine Learning with Dask—Your Questions Answered!

Building powerful machine learning models often requires more computing power than a laptop can provide. Although it’s fairly easy to provision compute instances in the cloud these days, all the computing power in the world…

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Data Science Blog
Anaconda and Full Spectrum Analytics Partner to Deliver Enterprise Data Science to Banks, Lenders, and Investments Firms

Anaconda, Inc., the most popular Python data science platform provider with 2.5 million downloads per month, is pleased to announce a new partnership with Full Spectrum Analytics, a data science consultancy that applies vast industry…

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Data Science Blog
Introducing Dask for Scalable Machine Learning

Although Python contains several powerful libraries for machine learning, unfortunately, they don’t always scale well to large datasets. This has forced data scientists to use tools outside of the Python ecosystem (e.g., Spark) when they…

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Company Blog
2018 Anaconda State of Data Science Report Released

We at Anaconda greatly value our data science community and are always striving to learn more about how you are using our products and how we can improve your overall experience. With this goal in…

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Data Science Blog
Anaconda Distribution 5.2 Released

We’re excited to announce the release of Anaconda Distribution 5.2! With over 6 million users, Anaconda Distribution is the world’s most popular and easiest way to do Python data science and machine learning. Download and…

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Data Science Blog
Generate Custom Parcels for Cloudera CDH with Anaconda Enterprise 5

As part of our partnership with Cloudera, we offer a freely available Anaconda Python parcel for Cloudera CDH based on the Anaconda Distribution. The Anaconda parcel has been very well-received by both Anaconda and Cloudera…

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