Big ML Pricing & Demo
Are you from this Company?
Summary
Following features are offered by BigML Machine Learning Platform-
Pricing:
BigML pricing is as outlined below:
- Immediate Access- Provides instant machine learning at fingertips in the cloud or on-premises. It helps with an easy-to-use web interface and REST API in a matter of seconds.
- Interpretable & Exportable Models- All predictive models on BigML are in-built with interactive visualization and explainability features that make them interpretable. They can be exported and used to serve local, offline predictions on any edge computing device or be instantaneously deployed as part of distributed real-time production applications.
- Collaboration- BigML is a transparent, collaborative platform for all members of the organization, from analysts and developers to engineers and executives. With BigML organizations, the dashboard is a shared workspace where users can access the same projects and resources with specific roles and permissions.
- Programmable & Repeatable- BigML's granular record-keeping and transparency are crucial to meet regulatory and audit compliance requirements yet are often completely overlooked in other Machine Learning tools.
Pricing:
BigML pricing is as outlined below:
- STANDARD BigML Pricing - $30 per month
- UNLIMITED TASKS
- MAX. TASK SIZE: 64 MB
- MAX. PARALLEL TASKS: 2
- Assistance Via email and chat room.
- Training Weekly, shared hangouts. Quarterly webinars.
- BOOSTED BigML Pricing - $150 per month
- UNLIMITED TASKS
- MAX. TASK SIZE: 1 GB
- MAX. PARALLEL TASKS: 4
- Assistance Via email and chat room.
- Training Weekly, shared hangouts. Quarterly webinars.
- PRO BigML Pricing - $300 per month
- UNLIMITED TASKS
- MAX. TASK SIZE: 4 GB
- MAX. PARALLEL TASKS: 8
- Assistance Via email and chat room.
- Training Weekly, shared hangouts. Quarterly webinars.
Free Demo:
Information on a free demo can be gained by contacting BigML through its website.
Discussions
Strengths
Cautions
Big ML Presence in
Machine Learning Software
BigML has its presence in North America and Europe. The company offers its products and solutions through direct and indirect channels, with third-party vendors, including distributors, system integrators, and value-added resellers. BigML caters to a diverse set of industry verticals, such as government, defense and public sector, BFSI, healthcare, retail and e-commerce, oil and gas, manufacturing, education, and energy and utilities. BigML follows both organic and inorganic strategies for its growth in the machine learning software market. In July 2015, BigML acquired Association Discovery software Magnum Opus from G.I. Webb and Associates. The acquisition helped BigML to add most effective algorithms and data mining techniques to its cloud-based best machine learning software platform to solve complex real-world predictive analytics problems. In March 2017, BigML announced updates for its BigML platform with Winter 2017 Release. The updates include Boosted Trees, the latest resource that helps to easily solve classification and regression problems. BigML is focusing a lot on adding new modules into its libraries and dashboards. Accordingly, the company introduced a Sublime Text package, which includes features, such as coding syntax highlighting and autocompletion. It added many features, such as field coding for logistics regressions, individual model predictions for ensembles, logistics regression on the dashboard, logistic regression predictions, logistic regression batch predictions, and Hadoop integration. BigML pricing has several plans.
Success
info
Error
Company Size :
Enterprise
SME
Startup
