bayesialab 5.0 introduction

2
Conrady Applied Science, LLC The new 5.0 release of BayesiaLab is the world’s only comprehensive software package for learning, editing and analyzing Bayesian networks. BayesiaLab makes it simple to apply artificial intelligence tools for data mining and knowledge discovery in data sets, such as consumer surveys, marketing metrics or CRM data. It leverages all of the powerful properties of Bayesian networks and integrates state-of-the-art algorithms into a single desktop application. Bayesian networks have emerged as a new form of probabilistic knowledge representation through the seminal works of UCLA Professor Judea Pearl. Over the last 25 years the properties of Bayesian networks have been fully validated in the world of academia and they are now becoming powerful and practical tools for “deep understanding” of very complex, high-dimensional problem domains. Their computational efficiency and inherently visual structure make Bayesian networks attractive for exploring previously intractable problems. Introducing BayesiaLab 5.0 ACCUMULATE KNOWLEDGE, NOT DATA knowledge discovery + quantitative reasoning WWW.CONRADYSCIENCE.COM THE LEADING SOFTWARE FOR KNOWLEDGE MANAGEMENT AND REASONING WITH BAYESIAN NETWORKS MACHINE LEARNING ANALYTICS PREDICTIVE MODELING SIMULATION OPTIMIZATION

Upload: bayesia-usa

Post on 05-Dec-2014

1.099 views

Category:

Documents


4 download

DESCRIPTION

The new 5.0 release of BayesiaLab is the world’s only comprehensive software package for learning, editing and analyzing Bayesian networks.

TRANSCRIPT

Page 1: BayesiaLab 5.0 Introduction

Conrady Applied Science, LLC

The new 5.0 release of BayesiaLab is the world’s only comprehensive software package for learning, editing and analyzing Bayesian networks. BayesiaLab makes it simple to apply artificial intelligence tools for data mining and knowledge discovery in data sets, such as consumer surveys, marketing metrics or CRM data. It leverages all of the powerful properties of Bayesian networks and integrates state-of-the-art algorithms into a single desktop application.

Bayesian networks have emerged as a new form of probabilistic knowledge representation through the seminal works of UCLA Professor Judea Pearl. Over the last 25 years the properties of Bayesian networks have been fully validated in the world of academia and they are now becoming powerful and practical tools for “deep understanding” of very complex, high-dimensional problem domains. Their computational efficiency and inherently visual structure make Bayesian networks attractive for exploring previously intractable problems.

Introducing BayesiaLab 5.0 ACCUMULATE KNOWLEDGE, NOT DATA

knowledge discovery + quantitative reasoning

W W W . C O N R A D Y S C I E N C E . C O M

THE LEADING SOFTWARE

FOR KNOWLEDGE

MANAGEMENT AND

REASONING WITH

BAYESIAN NETWORKS

MACHINE LEARNING

ANALYTICS

PREDICTIVE MODELING

SIMULATION

OPTIMIZATION

Page 2: BayesiaLab 5.0 Introduction

2

1

Today, Bayesian networks are transforming all kinds of research and BayesiaLab makes this new paradigm accessible to practicioners in a wide range of disciplines, including market research, business intelligence, risk management and strategic planning.

BayesiaLab is unlike many other data mining tools, which primarily generate statistical devices for predictive purposes. Much rather, the results generated by BayesiaLab are specifically intended for structural interpretation. BayesiaLab thus becomes a tool for conveying causal knowledge for deliberate reasoning, which allows decision makers to correctly weigh their options, even when confronted with high degrees of uncertainty.

BayesiaLab thus takes on a central role in effectively facilitating deep understanding within an organization.

BayesiaLab is an extremely user-friendly Java-based desktop application, which is compatible with virtually all operating systems, including Windows, Mac OS X, and UNIX (Linux, Solaris).

Conrady Applied Science, LLC, based in Franklin, TN, is the exclusive North American partner of Bayesia SAS of Laval, France.

W W W . C O N R A D Y S C I E N C E . C O M

BayesiaLab sales + training 888.386.8383 [email protected]

2

Deep understanding means knowing, not merely how things behaved yesterday, but also how things will behave under new hypothetical circumstances. Deliberate reasoning allows us to anticipate the consequences of actions we have not yet taken. Judea Pearl