Cyber TrainVisibility Software
|
||||||
Related Products
|
||||||
About
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener demographics. Features are used repeatedly by multiple teams and feature quality is critical to ensure a highly accurate model. Also, when features used to train models offline in batch are made available for real-time inference, it’s hard to keep the two feature stores synchronized. SageMaker Feature Store provides a secured and unified store for feature use across the ML lifecycle. Store, share, and manage ML model features for training and inference to promote feature reuse across ML applications. Ingest features from any data source including streaming and batch such as application logs, service logs, clickstreams, sensors, etc.
|
About
Sage Cyber Train is a Training Management System (TMS) that gives you the flexibility to manage and deliver course content, all while streamlining and automating your administrative workflows. Sage Cyber Train integrates with Sage HRMS and over a dozen HR systems, including single-sign on access to our Applicant Tracking solution - Sage Cyber Recruiter. Sage Cyber Train provided a centralized, on-demand location for corporate learning and training. Flexible on-premise and cloud-based deployment creates a simplified learning environment designed to track and manage. Manage and distribute various types of course content to build course curriculum and administer certification courses that meet your unique requirements. Improve hiring efficiency and candidate experience with end-to-end recruiting and onboarding process automation.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Enterprises seeking a solution to store, share, and manage ML model features for training
|
Audience
HR teams looking for a training management platform that helps improve employee development
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/feature-store/
|
Company InformationVisibility Software
Founded: 1999
United States
go.visibilitysoftware.com/training
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
|
|||||
Categories |
Categories |
|||||
Training Features
Academic / Education
Asynchronous Learning
Blended Learning
Built-In Course Authoring
Built-in LMS
Certification Management
Corporate / Business
eCommerce
Learner Portal
Mobile Learning
Simulation
Synchronous Learning
Training Companies
|
||||||
Integrations
AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
|
Integrations
AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
|
|||||
|
|
|