Binom

Binom

Binom is a statistics software focused on machine learning and econometrics. It allows A/B testing with Bayesian inference and can integrate with APIs to run experiments. The software also includes tools for linear regression, time series analysis and other common statistical tes
Binom image
statistics ab-testing bayesian-inference apis linear-regression time-series-analysis

Binom: Machine Learning & Econometrics Statistics Software

Binom is a statistics software focused on machine learning and econometrics. It allows A/B testing with Bayesian inference and can integrate with APIs to run experiments. The software also includes tools for linear regression, time series analysis and other common statistical tests.

What is Binom?

Binom is a statistics and machine learning software designed for A/B testing, machine learning model development, time series analysis, and other statistical modeling. The software's main focus is on Bayesian inference, which it implements for A/B testing to calculate probabilities that one variation will beat another rather than relying on p-values.

Key features of Binom include:

  • A/B testing suite with Bayesian updating that calculates the probability an experiment will be successful
  • Tools for developing machine learning models such as supervised learning algorithms, neural networks and boosting
  • Time series analysis with ARIMA and other predictive models
  • Statistics for linear regression, t-tests, ANOVA and other classical methods
  • APIs to integrate with other analytics systems or data sources
  • Visual reports and dashboards

Overall Binom provides a web-based, user friendly environment for machine learning model development, optimization and predictive analytics. With its focus on cutting edge Bayesian statistics, it offers the opportunity to leverage modern inference methods for business intelligence and data science.

Binom Features

Features

  1. A/B testing
  2. Bayesian inference
  3. Machine learning
  4. Econometrics
  5. Linear regression
  6. Time series analysis
  7. Integration with APIs

Pricing

  • Free
  • Freemium
  • Subscription-Based

Pros

Powerful statistical analysis and machine learning capabilities

A/B testing framework built-in

Flexible pricing options

Can connect to data sources via API

Cons

Steep learning curve

Limited documentation and support resources

Not as widely used as alternatives like R or Python


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