Introduction
Since 2003, I have worked with R, a GNU Stat Server Engine. R is a GNU clone of SPLUS.
The first time when I knew SPLUS & R, I was working in a project in IIT and I had to analyze two huge set of data about customer opinions.
In this statistical project, I have a develop several Scripts to apply Clustering Techniques and others advanced statistical techniques.
In 2005, In Spanish headquarter of Cegelec, I developed a system to control the sales using R & MySQL. This tool could notify about the sales's health. With this information and the predictors, I could report to my Marketing & Development Manager and improve his information.
In 2006, I started to study Advanced Marketing Phd. in URJC but at the end of my first course, I decided to study in
UCM.
At present, I study Statistics Methods Phd.
in UCM.
The subjects that I have choosen are:
- Categorical Data Analysis using Statistic Information Theory
- Data Mining
- Time Series
- Neural Networks
- Introducction
- Mathematical Fundamentals
- The dynamics of the systems: Continous and discret systems; Schocastic systems
- Optmitization theory
- Statistic Inference and and regression theory
- Recurrent Formulations: adaptations and learning
- Neural Network Concept and historical perspective
- Characterization and properties
- Neural Networks Classifications. Most known paradigms:
- Adaline, perceptron.
- Multi layer Perceptron: algoritmo de retropropagación. Propiedades
y aplicabilidad del PMC
- Hopfield Networks. Memorias autoasociativas. Memorias asociativas
bidireccionales
- Mapas topológicos auto-organizativos
- Hebbians Networks: Oja, Sanger y Rubner
- Cell Neural Networks
- Redes neuronales y aproximación de funciones: regresión no lineal
- Neural Networks learning
- Applications
- Image processing
- Identification, adaptative control and system's failure diagnostics
- Aprendizaje por refuerzo and mobile robotics
- Hibridación de técnicas de Cell-Mapping con arquitecturas neuronales.
- Pattern Recognition for biometric identification
