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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

Founded in 1991, SACS is a firm specializing in accounting and computer consulting services. Our mission is to deliver dependable and affordable IT solutions while providing ongoing support and guidance on how to advance your business and adapt to evolving market demands. At SACS, we offer computerized accounting systems that include Sage 50, SAGE Line 100, and our own SACS POS-2000 point of sale software. Additionally, we deliver comprehensive network and IT solutions, which encompass the supply, installation, implementation, design, configuration, and testing of all necessary hardware and software tailored to your specific requirements. Support for all our products is readily available from 09:00 to 17:30 on regular working days, and clients can access assistance through telephone, email, or remote connections like TeamViewer. We also allow users to send their data to us for thorough data assessments, enabling us to provide appropriate recommendations. The commitment of the SACS Software support team is evident in the impressive rates of customer loyalty we experience, as we prioritize the needs of our clients and strive for excellence in service delivery. This focus on customer satisfaction not only fosters long-term relationships but also reinforces our reputation in the industry.

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 
AutoPIPE No 
Docker Yes 
GitHub Yes 
Google Cloud AutoML Yes 
Jupyter Notebook Yes 
MXNet Yes 
ProSteel No 
PyTorch Yes 
Python Yes 
R Yes 
R Markdown Yes 
STAAD No 
TensorFlow Yes 

Integrations

Amazon SageMaker No 
Amazon Web Services (AWS) No 
AutoPIPE Yes 
Docker No 
GitHub No 
Google Cloud AutoML No 
Jupyter Notebook No 
MXNet No 
ProSteel Yes 
PyTorch No 
Python No 
R No 
R Markdown No 
STAAD Yes 
TensorFlow No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 No 
iPad App No 
Android App No 
Windows Yes 
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 No 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/build/

Vendor Details

Company Name

Sacs Software

Website

www.sacs-uk.com

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

Point of Sale

Barcode Scanning Yes 
Commission Management No 
Cryptocurrency Support No 
Customer Account Profiles Yes 
Discount Management No 
Electronic Signature Yes 
Gift Card Management No 
Loyalty Program No 
Multi-Location Yes 
Restaurant POS No 
Retail POS Yes 
Returns Management Yes 
eCommerce Integration Yes 

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