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ease
features
design
support

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Write a Review

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

Screenshots View All

Screenshots View All

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

Alternatives

Alternatives

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