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Description
Develop precise machine learning models using limited, sparse, and high-dimensional datasets without the need for extensive feature engineering by generating statistically optimized data representations. By mastering the extraction and representation of intricate relationships within your existing data, Dark Matter enhances model performance and accelerates training processes, allowing data scientists to focus more on solving complex challenges rather than spending excessive time on data preparation. The effectiveness of Dark Matter is evident, as it has resulted in notable improvements in model precision and F1 scores when predicting customer conversions in online retail. Furthermore, performance metrics across various models experienced enhancements when trained on an optimized embedding derived from a sparse, high-dimensional dataset. For instance, utilizing a refined data representation for XGBoost led to better predictions of customer churn in the banking sector. This solution allows for significant enhancements in your workflow, regardless of the model or industry you are working in, ultimately facilitating a more efficient use of resources and time. The adaptability of Dark Matter makes it an invaluable tool for data scientists aiming to elevate their analytical capabilities.
Description
Simulistics specializes in the creation and distribution of Simile, a sophisticated software designed for modeling and simulating intricate dynamic systems within the domains of earth, environmental, and life sciences. Our proprietary logic-based declarative modeling technology enables a clear and visually intuitive representation of interactions within these systems. By utilizing Simile, scientific researchers find the process of modeling significantly more efficient, as it allows for quicker preparation of models, easier sharing of resources, and more effective maintenance practices. Additionally, our software features an object-based representation that facilitates the handling of disaggregation and individual-based modeling. Users can benefit from auto-generated C++ model code, ensuring rapid execution times. One of the standout features includes plug-and-play modules, which allow for modular modeling; this means any component of a model can be extracted and utilized independently. Moreover, our plug-in displays empower users to create tailored graphics that suit their specific fields. With declarative model representation at its core, manipulating complex models becomes a straightforward endeavor, enhancing overall productivity in scientific investigations. Ultimately, Simile stands out as a versatile tool that meets the diverse needs of researchers in various scientific disciplines.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$300.00/one-time/user
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
Ensemble
Founded
2023
Country
United States
Website
ensemblecore.ai/
Vendor Details
Company Name
Simulistics
Founded
2000
Country
United Kingdom
Website
simulistics.com
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