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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Amazon SageMaker equips users with an extensive suite of tools and libraries essential for developing machine learning models, emphasizing an iterative approach to experimenting with various algorithms and assessing their performance to identify the optimal solution for specific needs. Within SageMaker, you can select from a diverse range of algorithms, including more than 15 that are specifically designed and enhanced for the platform, as well as access over 150 pre-existing models from well-known model repositories with just a few clicks. Additionally, SageMaker includes a wide array of model-building resources, such as Amazon SageMaker Studio Notebooks and RStudio, which allow you to execute machine learning models on a smaller scale to evaluate outcomes and generate performance reports, facilitating the creation of high-quality prototypes. The integration of Amazon SageMaker Studio Notebooks accelerates the model development process and fosters collaboration among team members. These notebooks offer one-click access to Jupyter environments, enabling you to begin working almost immediately, and they also feature functionality for easy sharing of your work with others. Furthermore, the platform's overall design encourages continuous improvement and innovation in machine learning projects.

Description

SAGE Total Access stands out as the leading product research and business management solution that more than 45,000 promotional product distributors rely on to simplify their daily tasks. This versatile platform allows you to access the industry’s favorite research tool from any device, whether you’re a PC enthusiast, a Mac aficionado, or a mobile device user, ensuring a seamless experience across all formats. With just a few clicks, placing online orders becomes effortless. Additionally, by utilizing a SAGE Company Store, you can provide your clients with a similar streamlined online ordering system for their customized merchandise. They gain access to a comprehensive database of over one million promotional items, enabling them to easily search and order products that fit their branding requirements. This service is packed with up-to-date content developed by our team, along with complete web design solutions and ongoing support, creating the perfect website you’ve always envisioned but lacked the time or expertise to build. So why not let us take care of it for you? Your clients will appreciate the enhanced convenience and professionalism, allowing you to focus on growing your business even further.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
Docker Yes 
GitHub Yes 
Google Cloud AutoML Yes 
Jupyter Notebook Yes 
MXNet Yes 
Microsoft Excel No 
PyTorch Yes 
Python Yes 
QuickBooks Online No 
R Yes 
R Markdown Yes 
Stripe No 
TensorFlow Yes 

Integrations

Amazon SageMaker No 
Amazon Web Services (AWS) No 
Docker No 
GitHub No 
Google Cloud AutoML No 
Jupyter Notebook No 
MXNet No 
Microsoft Excel Yes 
PyTorch No 
Python No 
QuickBooks Online Yes 
R No 
R Markdown No 
Stripe Yes 
TensorFlow No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$49 per month
Free Trial Yes 
Free Version 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 

Deployment

Web-Based No 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/build/

Vendor Details

Company Name

SAGE

Founded

1992

Country

United States

Website

www.sageworld.com/overview.php

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 

Product Features

Distribution

Barcoding / RFID No 
Import / Export Management No 
Inventory Management No 
Order Management No 
Purchasing No 
Returns Management No 
Sales Forecasting No 
Shipping Management No 
Warehouse Management No 

Alternatives

Alternatives

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