data is everywhere -- in every sector, economy, and organization. The ability to store, aggregate, and use it to perform deep
analyses can create significant value, and enhance productivity and competitiveness of every organization.
technologies provide the ability to unlock value and monetize an organization's data assets. However, it is difficult for
end users to use machine learning effectively and exploit state-of-the-art methods without support.
PANDATM (Predictive Advanced Nonlinear Diagnostic Analyzer) is a set of tools and processes built on scalable technology
that solves a wide range of challenging real-world problems, such as classification, ranking, detection, clustering and semi-supervised
learning, feature selection, collaborative filtering and adaptation. PANDA utilizes specialized and novel techniques in line
with state-of-the-art developments. PANDA is designed for use in a MATLAB environment and offers several outstanding features.
capability of any predictive and analytic modeling tools depends on the inclusion of accurate and diverse models in its underlying
ensemble of learners. PANDA contains a wide collection of standard learners such as linear and nonlinear support vector machines,
regularized logistic regression, bagged or boosted trees, and kernel kNN. More importantly, PANDA includes highly specialized
learning models based on advanced optimization technology that can effectively handle nonlinear and interaction variable sections,
highly unbalanced or rare class learning, and semi- and unsupervised learning.
- While most off-the-shelf predictive
and analytic modeling tools cannot learn complex interactions of input variables, PANDA can effectively handle the nonlinear
and interaction variable selection. It uses advanced optimization technology to solve a complex mathematical problem that
identifies the most important subset of variables.
- Highly unbalanced datasets can introduce significant bias and present immense computational
difficulties to the currently available predictive and analytic modeling tools. PANDA employs highly specialized rare-class
learning algorithms that produce high-quality rankings with the ability to scale to very large datasets.
- PANDA can take advantage
of unbalanced samples to produce significantly improved models.
We understand that every organization and every problem
is different. We work with you through the whole data analysis life-cycle to deliver and deploy a successful solution. If
you are interested in using PANDA or working with us, please contact us at firstname.lastname@example.org.