Oracle Machine LearningOracle
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Related Products
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About
Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.
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About
Profet AI’s end-to-end No-Code AutoML Platform is manufacturers’ Virtual Data Scientist. It empowers industry domain/IT experts to rapidly build high-quality prediction models and deploy Industrial AI applications to solve their everyday production and digitalization challenges.
Profet AI AutoML Platform is widely adopted by world's leading customers across industries, including the world's leading EMS, Semi-OSAT, PCB, IC design House, display panel and materials solution providers. We leverage industry leading companies' successful cases to benefit our customers to implement AI within one week.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data scientists looking for a machine learning solution to accelerate the creation and deployment of machine learning models
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Audience
Manufacturers
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/data-science/machine-learning/
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Company InformationProfet AI
Founded: 2018
Taiwan
www.profetai.com/en
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Alternatives |
Alternatives |
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Categories |
Categories |
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Machine Learning Features
Deep Learning
Not Supported
ML Algorithm Library
Supported
Model Training
Supported
Natural Language Processing (NLP)
Not Supported
Predictive Modeling
Supported
Statistical / Mathematical Tools
Supported
Templates
Not Supported
Visualization
Not Supported
Manufacturing Features
Accounting Integration
Not Supported
ERP
Not Supported
Maintenance Management
Supported
MES
Not Supported
MRP
Not Supported
Purchase Order Management
Supported
Quality Management
Supported
Quotes/Estimates
Not Supported
Reporting/Analytics
Not Supported
Safety Management
Not Supported
Shipping Management
Not Supported
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Integrations
Apache Hive
Supported
Apache Spark
Supported
Impala
Supported
Kinetica
Supported
MySQL
Supported
Oracle Cloud Infrastructure
Supported
Oracle Database
Supported
PwC Check-In
Supported
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Integrations
Apache Hive
Not Supported
Apache Spark
Not Supported
Impala
Not Supported
Kinetica
Not Supported
MySQL
Not Supported
Oracle Cloud Infrastructure
Not Supported
Oracle Database
Not Supported
PwC Check-In
Not Supported
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