BigML Review

Private Deployments

If an organization requires an elevated level of security for their data, they can deploy the BigML platform privately via cloud or on-premises. This allows for robust controls of security, stringent privacy settings, and strict compliance with regulations. On top of that, organizations can choose which cloud service they wish to run the platform on and still enjoy top-notch machine learning services.

Smooth Synchronization & Automation

With BigML’s REST API, organizations can seamlessly integrate the platform with their own Service Oriented Architectures. This enables them to provide their developers with ultimate flexibility in putting into auto-pilot complex machine learning work processes. This way, organizations can save financial resources that could otherwise be utilized for other operational needs.

Scalable Platform

BigML can scale as required via its best-in-class algorithms that are perceptible and repeatable remove the complications of hardware settings. This allows data scientists, model builders, and analysts funnel their efforts to heavy analytics tasks rather than on infrastructure management responsibilities.

Personalized Offerings

BigML can be employed in creating smart applications for Alexa. The platform provides developers with the tools they need to offer tailored experiences to users that combine accurate predictions and powerful voice processing abilities.

Bindings & Libraries

BigML has bindings that users can use to expeditiously design their models, produce predictions, and manage tasks through their favored programming language. This lets them complete their responsibilities efficiently since the platform is flexible enough to support their programming needs.

One-Line Automation

Whilst other platforms require complicated codes to deploy automated tasks, BigML through its command line tool, lets developers change tasks’ modes into autopilot with just one line in the command prompt.

Google Sheets Add-On

BigML also works within Google Sheets, enabling users to instantly fill in fields with missing values. This feature puts into use a developer’s current models and clusters.

MacOS App

BigML has a dedicated application specifically designed for MacOS users. This way, those who wish to use the platform but do not have Windows machines can still enjoy the features on their MacBooks.

Moreover, the native app makes developing models a less arduous process with its drag-and-drop function.

Real-Time Predictions

BigML provides organizations the means to conduct to conduct millions of predictions in real-time through its dedicated machine image. This can be deployed through a private cloud server where it can make instant predictions by utilizing a user’s models.