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What is Amazon SageMaker JumpStart?
Amazon SageMaker JumpStart acts as a versatile center for machine learning (ML), designed to expedite your ML projects effectively. The platform provides users with a selection of various built-in algorithms and pretrained models from model hubs, as well as foundational models that aid in processes like summarizing articles and creating images. It also features preconstructed solutions tailored for common use cases, enhancing usability. Additionally, users have the capability to share ML artifacts, such as models and notebooks, within their organizations, which simplifies the development and deployment of ML models. With an impressive collection of hundreds of built-in algorithms and pretrained models from credible sources like TensorFlow Hub, PyTorch Hub, HuggingFace, and MxNet GluonCV, SageMaker JumpStart offers a wealth of resources. The platform further supports the implementation of these algorithms through the SageMaker Python SDK, making it more accessible for developers. Covering a variety of essential ML tasks, the built-in algorithms cater to the classification of images, text, and tabular data, along with sentiment analysis, providing a comprehensive toolkit for professionals in the field of machine learning. This extensive range of capabilities ensures that users can tackle diverse challenges effectively.
Integrations Supported
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Integrations Supported
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Think Deeply
Company Location
United States
Company Website
www.thinkdeeply.com
Company Facts
Organization Name
Amazon
Date Founded
2006
Company Location
United States
Company Website
aws.amazon.com/sagemaker/jumpstart/
Categories and Features
Visual Search
Barcode Recognition
Catalog Management
Customer Activity Tracking
Filtering
IP Protection
Image Tagging
Mobile App
Optical Character Recognition
Product Recommendations
Product Search
Reverse Image Search
Video Search
Categories and Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
