LogixStudio: OUR TOOLKIT

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To be the best you need a combination of talent and tools. At NLP Logix we have both. Our team of statisticians, software engineers and machine learning experts have proven they can compete with the best in the world.

To maintain the sharpest predictive capabilities in the industry, our data science teams use LogixStudio, an end-to-end machine learning toolkit that uses the most recent and advanced computing language to come out of MIT.

With LogixStudio, our clients are able to receive predictive modeling and advanced analytics solutions using cutting-edge technology that helps them run:

  • Data aggregation.
  • Data extraction, transformation and loading into data warehouses.
  • Algorithmic libraries developed to solve real world problems.
  • Model development and fitting using advanced machine learning applications (see models below).
  • Proprietary code or “bindings” to integrate a model into any operating environment (See technical attributes below).

LogixStudio is used by data scientists to quickly develop, deploy and maintain predictive analytic solutions within any industry. Models are developed using Julia, a modern high-performance scientific computing language. Packaging and deployment interfaces allow the solution to easily be integrated into a number of different technologies.

Our Models

Whether it’s modeling the effects of the weather on the price of a commodity or identifying the behavior of hundreds of thousands of consumers, LogixStudio is up to the most complex data modeling task.

Customer Acquisition

Customer Retention

Customer Reactivation

Price Optimization

Inventory Management

Risk Management

Fraud Detection

Depositor Behavior

Hedging Optimization

Student Lifeguard

Technical Attributes

Inventory Management

  • Gradient Boosted Trees
  • Random Forest
  • AdaBoost
  • Extra Trees

Deep Nets

  • Dropout
  • Maxout
  • L1/L2 regularization
  • AdaDelta
  • AdaGrad
  • Momentum
  • Softmax
  • Logistic
  • Rectified Linear

Processing

  • PCA
  • Scaling
  • Centering
  • Standardizing
  • Early Stopping
  • Grid Search
  • Metric Library

Deployment

  • Export Models
  • Export Pipeline
  • C#
  • Java
  • Python

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