The Anaconda Blog

Enterprise Data Science
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 depart...
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News
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...
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For Practitioners
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 a...
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For Practitioners
Intake released on Conda-Forge
Intake is a package for cataloging, finding and loading your data. It has been developed recently by Anaconda, Inc., and continues to gain new features. To read general inform...
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For Practitioners
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 ...
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Enterprise Data Science
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...
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