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Average Ratings 0 Ratings
Description
Machine learning reveals concealed patterns and valuable insights within enterprise data, ultimately adding significant value to businesses. Oracle Machine Learning streamlines the process of creating and deploying machine learning models for data scientists by minimizing data movement, incorporating AutoML technology, and facilitating easier deployment. Productivity for data scientists and developers is enhanced while the learning curve is shortened through the use of user-friendly Apache Zeppelin notebook technology based on open source. These notebooks accommodate SQL, PL/SQL, Python, and markdown interpreters tailored for Oracle Autonomous Database, enabling users to utilize their preferred programming languages when building models. Additionally, a no-code interface that leverages AutoML on Autonomous Database enhances accessibility for both data scientists and non-expert users, allowing them to harness powerful in-database algorithms for tasks like classification and regression. Furthermore, data scientists benefit from seamless model deployment through the integrated Oracle Machine Learning AutoML User Interface, ensuring a smoother transition from model development to application. This comprehensive approach not only boosts efficiency but also democratizes machine learning capabilities across the organization.
Description
By combining the advantages of a notebook with the functionality of an IDE, experts are empowered to analyze data while simultaneously developing reliable code, all supported by a fully automated cloud infrastructure. Zerve revolutionizes the data science development environment, providing teams focused on data science and machine learning with a cohesive platform to explore, collaborate, construct, and deploy their AI projects like never before. This innovative tool ensures true language interoperability, allowing users to seamlessly integrate Python, R, SQL, or Markdown within the same workspace, facilitating the connection of various code blocks. Zerve eliminates the frustrations of lengthy code execution or cumbersome containers by enabling unlimited parallel processing throughout the entire development process. Furthermore, artifacts generated during analysis are automatically serialized, versioned, stored, and preserved, making it simple to modify any step in the data pipeline without the need to reprocess earlier stages. Users also benefit from precise control over computing resources and additional memory, which is essential for handling intricate data transformations. With Zerve, data science teams can enhance their workflow efficiency and streamline project management significantly.
API Access
Has API
API Access
Has API
Integrations
MySQL
Amazon API Gateway
Amazon Web Services (AWS)
Apache Hive
Apache Spark
Docker
GitHub
Impala
Kinetica
MariaDB
Integrations
MySQL
Amazon API Gateway
Amazon Web Services (AWS)
Apache Hive
Apache Spark
Docker
GitHub
Impala
Kinetica
MariaDB
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/data-science/machine-learning/
Vendor Details
Company Name
Zerve AI
Founded
2023
Country
Ireland
Website
www.zerve.ai/
Product Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization