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…
What’s in a Name? Clarifying the Anaconda Metapackage
The name “Anaconda” is overloaded in many ways. There’s our company, Anaconda, Inc., the Anaconda Distribution, the anaconda metapackage, Anaconda Enterprise, and several other, sometimes completely unrelated projects (like Red Hat’s Anaconda). Here we hope to clarify two of those – the difference between the Anaconda Distribution and the anaconda metapackage. The Anaconda Distribution is […]
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 strat…
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 release aimed to address those concerns. The short version is that Conda install times have decreased by more than half […]
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 in recipes/compilers that we did for the Anaconda Distribution 5.0 release. The current primary channel, “main,” is also totally free […]
Conda 4.6 Release
The latest set of major Conda improvements are here, with version 4.6. This release has been stewing for a while and has the feature list to show for it. Let’s walk through some of the major ones. Activation script initialization Conda 4.4 introduced new scripts that make activation behavior uniform across operating systems. Where you […]
Anaconda Enterprise 5.3 Release
The Anaconda Product Team has released Anaconda Enterprise 5.3, an upgrade focused on platform stability and reliability to support our customers’ …
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 mac…
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 to optimizing Conda. We’d like to take this opportunity to discuss what we did, and what we think is left […]
Anaconda Recognized as a May 2019 Gartner Peer Insights Customers’ Choice for Data Science and Machine Learning Platforms
The Anaconda team is excited to announce that we have been recognized as a May 2019 Gartner Peer Insights Customers’ Choice for Data Science and Ma…