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What is SAGE Total Access?

SAGE Total Access distinguishes itself as the premier solution for product research and business management, trusted by over 45,000 promotional product distributors to streamline their everyday operations. This adaptable platform provides users with access to the industry's most beloved research tool from any device, catering to PC users, Mac enthusiasts, and those on mobile devices, thus guaranteeing a smooth experience regardless of the format. With just a few simple clicks, the process of placing online orders becomes remarkably easy. By implementing a SAGE Company Store, you can also offer your clients a similarly efficient online ordering experience for their personalized merchandise. They will benefit from a vast database of more than one million promotional products, allowing them to effortlessly search for and order items that align with their branding needs. This service is enriched with the latest content crafted by our team, as well as complete web design solutions and continuous support, enabling you to create the ideal website you've always dreamed of but perhaps lacked the time or skills to develop. Additionally, we are here to handle every detail on your behalf, ensuring that your clients experience enhanced convenience and professionalism that can set you apart in the market. By focusing on these aspects, you can significantly enhance your business growth and client satisfaction.

What is Amazon SageMaker Model Building?

Amazon SageMaker provides users with a comprehensive suite of tools and libraries essential for constructing machine learning models, enabling a flexible and iterative process to test different algorithms and evaluate their performance to identify the best fit for particular needs. The platform offers access to over 15 built-in algorithms that have been fine-tuned for optimal performance, along with more than 150 pre-trained models from reputable repositories that can be integrated with minimal effort. Additionally, it incorporates various model-development resources such as Amazon SageMaker Studio Notebooks and RStudio, which support small-scale experimentation, performance analysis, and result evaluation, ultimately aiding in the development of strong prototypes. By leveraging Amazon SageMaker Studio Notebooks, teams can not only speed up the model-building workflow but also foster enhanced collaboration among team members. These notebooks provide one-click access to Jupyter notebooks, enabling users to dive into their projects almost immediately. Moreover, Amazon SageMaker allows for effortless sharing of notebooks with just a single click, ensuring smooth collaboration and knowledge transfer among users. Consequently, these functionalities position Amazon SageMaker as an invaluable asset for individuals and teams aiming to create effective machine learning solutions while maximizing productivity. The platform's user-friendly interface and extensive resources further enhance the machine learning development experience, catering to both novices and seasoned experts alike.

Media

Media

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
Docker
GitHub
Google Cloud AutoML
Jupyter Notebook
MXNet
Microsoft Excel
PyTorch
Python
QuickBooks Online
R
R Markdown
Stripe
TensorFlow

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
Docker
GitHub
Google Cloud AutoML
Jupyter Notebook
MXNet
Microsoft Excel
PyTorch
Python
QuickBooks Online
R
R Markdown
Stripe
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

$49 per month
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

SAGE

Date Founded

1992

Company Location

United States

Company Website

www.sageworld.com/overview.php

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/build/

Categories and Features

Distribution

Barcoding / RFID
Import / Export Management
Inventory Management
Order Management
Purchasing
Returns Management
Sales Forecasting
Shipping Management
Warehouse Management

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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