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Average Ratings 0 Ratings

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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Active Directory Yes 
Amazon SageMaker No 
Amazon SageMaker Unified Studio No 
Amazon Web Services (AWS) No 
Microsoft Excel Yes 

Integrations

Active Directory No 
Amazon SageMaker Yes 
Amazon SageMaker Unified Studio Yes 
Amazon Web Services (AWS) Yes 
Microsoft Excel No 

Pricing Details

$149 one-time payment
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
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 No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

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 Yes 
Content Management Yes 
Dashboard Creation Yes 
Filtered Views Yes 
OLAP Yes 
Relational Display No 
Simulation Models Yes 
Visual Discovery Yes 

Product Features

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 

Alternatives

Alternatives