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Machine Learning made easy as 1, 2, 3.
3.5 As A Fraction
If you are a die-hard Mac user, Machine Learning has just arrived at your desktop. You don't even need to fire up your browser to extract the predictive power of your data anymore. BigML native app for Mac OS X streamlines machine learning workflows even further. Zombie (itch) (lisa zhang) mac os. Nonnative mac os. Using our Mac OS X client, you can get predictions off of your local data not only faster than using cloud-only alternatives, but also for FREE!
All versions of Mac OS X that were made to run on PowerPC systems (with the exception of Leopard) had a Mac OS 9 emulation layer called 'Classic'. It allowed Mac OS X to run Mac OS 9 applications that weren't updated to run natively on OS X (known as carbonization based on the Carbon API). The Installer refuses to update or reinstall Mac OS X, or you need to install an older version, and you don't want to reformat the drive. This option is especially helpful when reinstalling Mac OS X from the disc would be a downgrade from the existing OS version (say, because you updated to Mac OS X 10.4.1 via Software Update after installing. Minimum OS: Windows 7 or Windows 8, CPU: 2.6 GHz Dual Core (Intel Core 2 Duo E8200 or higher / AMD Phenom II X2 565 BE or higher), RAM: 2 GB, GPU: Nvidia GeForce 430 or better / ATI Radeon HD 4650 or better, Hard Drive: 3 GB available space, Sound: DirectX Compatible Sound Card. Experience Telegram on your mac in a swift and seamless way.
Optimized for Cloud Computing
Building machine-learned models or clusters is a computationally expensive task because it tends to go through many iterations in an effort to achieve higher accuracy with minimum error. BigML leverages the Cloud's power, and the native Mac OS X app is capable of handling all related cloud resources necessary.
Fast and Cost-free Predictions
Using our Mac OS X client, you can get predictions off of your local data not only faster than using cloud-only alternatives, but as a bonus, it will also cost you a sum total of NOTHING! On top of that, BigML model and clusters are white-box, meaning that you can interact with them to better explain why a specific prediction or classification was made.
Workflow Templates
1 2 3 Vetements
Creating Machine Learning models or clusters from your data involves some basic steps going from raw data to a final model structure. The app takes care of the workflow and creates all intermediate resources. It will also let you access, modify or reuse those resources to perform other evaluations or optimizations.
- or Sign in with..
Machine Learning made easy as 1, 2, 3.
3.5 As A Fraction
If you are a die-hard Mac user, Machine Learning has just arrived at your desktop. You don't even need to fire up your browser to extract the predictive power of your data anymore. BigML native app for Mac OS X streamlines machine learning workflows even further. Zombie (itch) (lisa zhang) mac os. Nonnative mac os. Using our Mac OS X client, you can get predictions off of your local data not only faster than using cloud-only alternatives, but also for FREE!
All versions of Mac OS X that were made to run on PowerPC systems (with the exception of Leopard) had a Mac OS 9 emulation layer called 'Classic'. It allowed Mac OS X to run Mac OS 9 applications that weren't updated to run natively on OS X (known as carbonization based on the Carbon API). The Installer refuses to update or reinstall Mac OS X, or you need to install an older version, and you don't want to reformat the drive. This option is especially helpful when reinstalling Mac OS X from the disc would be a downgrade from the existing OS version (say, because you updated to Mac OS X 10.4.1 via Software Update after installing. Minimum OS: Windows 7 or Windows 8, CPU: 2.6 GHz Dual Core (Intel Core 2 Duo E8200 or higher / AMD Phenom II X2 565 BE or higher), RAM: 2 GB, GPU: Nvidia GeForce 430 or better / ATI Radeon HD 4650 or better, Hard Drive: 3 GB available space, Sound: DirectX Compatible Sound Card. Experience Telegram on your mac in a swift and seamless way.
Optimized for Cloud Computing
Building machine-learned models or clusters is a computationally expensive task because it tends to go through many iterations in an effort to achieve higher accuracy with minimum error. BigML leverages the Cloud's power, and the native Mac OS X app is capable of handling all related cloud resources necessary.
Fast and Cost-free Predictions
Using our Mac OS X client, you can get predictions off of your local data not only faster than using cloud-only alternatives, but as a bonus, it will also cost you a sum total of NOTHING! On top of that, BigML model and clusters are white-box, meaning that you can interact with them to better explain why a specific prediction or classification was made.
Workflow Templates
1 2 3 Vetements
Creating Machine Learning models or clusters from your data involves some basic steps going from raw data to a final model structure. The app takes care of the workflow and creates all intermediate resources. It will also let you access, modify or reuse those resources to perform other evaluations or optimizations.
BigML Mac OS X app in action
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