Average Ratings 0 Ratings
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
Elevate your security testing experience, from establishing your setup to examining your data processing outcomes, with esDynamic, which streamlines your efforts and saves you precious time while maximizing the effectiveness of your attack strategies. Explore this adaptable and all-encompassing Python-based platform, expertly designed to support every step of your security evaluations. Tailor your research environment to fit your specific needs by seamlessly incorporating new tools, integrating equipment, and adjusting data. Moreover, esDynamic offers a vast repository of resources on intricate subjects that would usually necessitate considerable research or the input of a specialized team, providing immediate access to expert knowledge. Move away from disorganized data and piecemeal information. Embrace a unified workspace that encourages your team to easily exchange data and insights, enhancing collaboration and speeding up the discovery process. Additionally, consolidate and fortify your work within JupyterLab notebooks for streamlined sharing among your team members, ensuring everyone is on the same page. This holistic approach can significantly transform your security testing workflow.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Apache Hive
Yes
Apache Spark
Yes
Impala
Yes
JupyterLab
No
Kinetica
Yes
MySQL
Yes
Oracle Cloud Infrastructure
Yes
Oracle Database
Yes
PwC Check-In
Yes
Python
No
Integrations
Apache Hive
No
Apache Spark
No
Impala
No
JupyterLab
Yes
Kinetica
No
MySQL
No
Oracle Cloud Infrastructure
No
Oracle Database
No
PwC Check-In
No
Python
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/data-science/machine-learning/
Vendor Details
Company Name
eShard
Country
France
Website
eshard.com/esdynamic
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Software Testing
Automated Testing
No
Black-Box Testing
No
Dynamic Testing
No
Issue Tracking
No
Manual Testing
No
Quality Assurance Planning
No
Reporting / Analytics
No
Static Testing
No
Test Case Management
No
Variable Testing Methods
No
White-Box Testing
No