Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Amazon SageMaker Autopilot streamlines the process of creating machine learning models by handling the complex tasks involved. All you need to do is upload a tabular dataset and choose the target column for prediction, and then SageMaker Autopilot will systematically evaluate various strategies to identify the optimal model. From there, you can easily deploy the model into a production environment with a single click or refine the suggested solutions to enhance the model’s performance further. Additionally, SageMaker Autopilot is capable of working with datasets that contain missing values, as it automatically addresses these gaps, offers statistical insights on the dataset's columns, and retrieves relevant information from non-numeric data types, including extracting date and time details from timestamps. This functionality makes it a versatile tool for users looking to leverage machine learning without deep technical expertise.
Description
ChemSep is an advanced column simulator utilized for processes such as distillation, absorption, and extraction, which seamlessly integrates both classic equilibrium stage models and nonequilibrium (rate-based) models within a user-friendly interface. This software boasts an extensive library containing capacity and mass transfer performance parameters for various trays and packings, enhancing the accuracy of modeling real-world column performance. With its design mode, ChemSep offers automatic simulation capabilities and facilitates the determination of column diameter based on specified flood fractions, while incorporating industry-standard design methods and pressure drop calculations for both trayed and packed columns. The program is versatile, supporting a wide range of column configurations and specifications that empower users to effectively address separation challenges. Additionally, ChemSep can function as a standalone tool or be integrated into any CAPE-OPEN compliant flowsheeting software, taking advantage of the relevant thermodynamic and physical property data to optimize its performance. Ultimately, this flexibility makes ChemSep an invaluable asset for engineers and researchers in the field of chemical separation processes.
API Access
Has API
API Access
Has API
Integrations
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Integrations
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
2006
Country
United States
Website
aws.amazon.com/sagemaker/autopilot
Vendor Details
Company Name
ChemSep
Country
Netherlands
Website
www.chemsep.org
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling