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Description
Efficiently implement various inclusion and exclusion filters by importing data from a CSV file or pasting information directly from your clipboard to pinpoint precise matches in Active Directory. You can initiate the process seamlessly by choosing a start builder and disabling the "EDIT COLUMNS" checkbox for immediate execution. The functionality regarding the check state of this feature is controlled through the main settings menu. Furthermore, utilize the grid view to present the results of your Active Directory report in a spreadsheet-like format, which enhances readability and usability. This grid view also offers immediate "type-in" filtering and sorting options for the columns, streamlining your data management. You can directly copy specific cells, entire rows, or columns for easier data manipulation. Choose between OneLevel or Subtree searches across various organizational units (OUs), allowing you to target specific OUs and their child OUs from an organized list. Additionally, the bindings menu provides a straightforward way to switch domains using a simple drop-down selection. All directory servers and trust partners are automatically integrated into the system, ensuring a comprehensive overview. With just a click, you can also add attributes from your Active Directory schema that are not already included in the default setup, enhancing customization options for your reports. This flexibility allows for a more tailored experience when managing directory information.
Description
Amazon SageMaker Autopilot streamlines the process of creating machine learning models by handling the complex tasks involved. All you need to do is upload a tabular dataset and choose the target column for prediction, and then SageMaker Autopilot will systematically evaluate various strategies to identify the optimal model. From there, you can easily deploy the model into a production environment with a single click or refine the suggested solutions to enhance the model’s performance further. Additionally, SageMaker Autopilot is capable of working with datasets that contain missing values, as it automatically addresses these gaps, offers statistical insights on the dataset's columns, and retrieves relevant information from non-numeric data types, including extracting date and time details from timestamps. This functionality makes it a versatile tool for users looking to leverage machine learning without deep technical expertise.
API Access
Has API
API Access
Has API
Integrations
Active Directory
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Microsoft Excel
Integrations
Active Directory
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Microsoft Excel
Pricing Details
$149 one-time payment
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
Sysmalogic
Founded
2016
Country
Sweden
Website
www.sysmalogic.com
Vendor Details
Company Name
Amazon
Founded
2006
Country
United States
Website
aws.amazon.com/sagemaker/autopilot
Product Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization