The Anaconda Blog

Data Science Blog
How to Build a Custom Anaconda Installer for R

A frequent question on the Anaconda Community mailing list is how to package R with conda for distribution. Depending on the use case, one option may be to use conda to move environments. This requires…

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Data Science Blog
Enterprises Need to Think Differently about Data Science. Here’s How.

Companies that are data science literate make and communicate decisions on the basis of real data models, and not merely instinct or tradition. They welcome new data science technologies as opportunities for potential innovation, rather…

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Data Science Blog
4 Machine Learning Use Cases in the Automotive Sector

From parts suppliers to vehicle manufacturers, service providers to rental car companies, the automotive and related mobility industries stand to gain significantly from implementing machine learning at scale. We see the big automakers investing in…

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Data Science Blog
Getting Started with Machine Learning in the Enterprise

Machine learning (ML) is a subset of artificial intelligence (AI) in which data scientists use algorithms and statistical  models to predict outcomes and/or perform specific tasks. ML models can automatically “learn from” data sets to…

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Data Science Blog
4 Ways Financial Firms Put Machine Learning to Work

Several industry giants in the finance sector are well on their way to implementing machine learning technology that improves operations and guides strategy in multiple departments. So far, machine learning algorithms are being used in…

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Data Science Blog
Announcing the Anaconda 2019.07 Release

The midyear release of Anaconda Distribution is available for download. The Anaconda 2019.07 release focuses on Conda performance. We’ve heard your frustration about lengthy install times for packages when using Conda, and the Conda 4.7…

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Data Science Blog
Why We Removed the “Free” Channel in Conda 4.7

One of the changes we made in Conda 4.7 was the removal of a software collection called “free” from the default channel configuration. The “free” channel is our collection of packages prior to the switch…

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Data Science Blog
How We Made Conda Faster in 4.7

We’ve witnessed a lot of community grumbling about Conda’s speed, and we’ve experienced it ourselves. Thanks to a contract from NASA via the SBIR program, we’ve been able to dedicate a lot of time recently…

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Data Science Blog
Intake: Discovering and Exploring Data in a Graphical Interface

Motivation Do you have data that you’d like people to be able to explore on their own? Are you always passing around snippets of code to load specific data files? These are problems that people…

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Data Science Blog
Reflections on AnacondaCON 2019 with NVIDIA’s Josh Patterson

I love this month. April 19’ brings back Game of Thrones, Avengers: Endgame (that Thanos snap though), and of course AnacondaCON. I’ve been to every AnacondaCON, which makes this my third show. Of all data…

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Data Science Blog
TensorFlow CPU optimizations in Anaconda

By Stan Seibert, Anaconda, Inc. & Nathan Greeneltch, Intel Corporation TensorFlow is one of the most commonly used frameworks for large-scale machine learning, especially deep learning (we’ll call it “DL” for short). This popular framework…

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Data Science Blog
The Human Element in AI

The over 45 speakers at AnacondaCON 2019 delved into how machine learning, artificial intelligence, enterprise, and open source communities are accomplishing great things with data — from optimizing urban farming to identifying the elements in…

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