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What is ndCurveMaster?

ndCurveMaster is an advanced software solution tailored for fitting curves across multiple variables. It seamlessly applies nonlinear equations to datasets that consist of either observed or measured values. This versatile tool accommodates curve and surface fitting across dimensions ranging from 2D to 5D and beyond. Regardless of the complexity or the number of variables, ndCurveMaster is equipped to process any type of data. For instance, it can effectively determine the ideal equations for a dataset featuring six input variables (x1 through x6) and an output variable Y, exemplified by an equation such as Y = a0 - a1 - exp(x1)0.5 + a2 ln(x2)8... + a6 x65.2, which accurately reflects the measured values. Employing machine learning numerical techniques, ndCurveMaster automatically identifies the most appropriate nonlinear regression function for your dataset, revealing the intricate relationships between inputs and outputs. The software supports a variety of curve fitting methods, encompassing linear, polynomial, and nonlinear approaches. Additionally, it incorporates critical validation and goodness-of-fit assessments to ensure precision. It further enhances its capabilities by providing sophisticated evaluations, including the identification of overfitting and multicollinearity through tools like the Variance Inflation Factor (VIF) and the Pearson correlation matrix, making it an invaluable resource for data analysis. Overall, ndCurveMaster stands out as a robust tool for researchers and analysts seeking to understand complex data relationships.

What is BigML?

Immerse yourself in the sophistication of Machine Learning that is designed for everyone. Enhance your business operations with a top-tier Machine Learning platform that aims to empower your data-centric strategies starting today! Wave farewell to costly and cumbersome alternatives. Uncover a Machine Learning solution that combines efficiency with effectiveness. BigML provides a diverse range of meticulously crafted algorithms that are proven to tackle real-world problems through a cohesive framework applicable across your entire organization. This strategy helps avoid dependency on multiple disjointed libraries that could complicate processes, inflate maintenance costs, and lead to technical challenges in your initiatives. BigML enables unlimited predictive applications across numerous industries, including aerospace, automotive, energy, entertainment, finance, food service, healthcare, IoT, pharmaceuticals, transportation, telecommunications, and many more. With expertise in supervised learning techniques such as classification and regression (including trees, ensembles, linear and logistic regressions, and deep networks), along with time series forecasting, the avenues for exploration are virtually limitless. By harnessing these sophisticated tools, your organization can unveil fresh insights and avenues for substantial growth, paving the way for innovative solutions and enhanced decision-making processes.

Media

Media

Integrations Supported

Pascal
Python

Integrations Supported

Incredible
Stackreaction
Unremot
Wufoo
Zapier

API Availability

API Availability

Has API

Pricing Information

€289
ndCurveMaster WIN/MAC – Web Download
LIFETIME License
Free Trial Offered?

Pricing Information

$30 per user per month
Free Version

Supported Platforms

Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

SigmaLab Tomas Cepowski

Date Founded

2017

Company Location

Poland

Company Website

www.ndcurvemaster.com

Company Facts

Organization Name

BigML

Date Founded

2011

Company Location

United States

Company Website

bigml.com

Categories and Features

Statistical Analysis

Analytics
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Visualization

Categories and Features

Machine Learning

Predictive Modeling
Templates

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