Maestría en Ciencia de Datos: Carlos Fernando Esponda Darlington

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Carlos Fernando Esponda Darlington

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+52 55 5490 4699
fernando.esponda@itam.mx

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Carlos Fernando Esponda Darlington es catedrático del Instituto Tecnológico Autónomo de México, director de la Licenciatura en Ciencia de Datos e investigador asociado en el Biodesign Instituto de la Universidad del Estado de Arizona. Recibió su doctorado en Ciencias de la Computación de la Universidad de Nuevo México y un postdoctorado de la Universidad de Yale.
Sus intereses están alrededor de la intersección de la biología y la computación. En particular, ha desarrollado algoritmos de seguridad y privacidad de datos inspirados en el funcionamiento del sistema inmune, al igual que, modelos del comportamiento de las hormigas basados en ideas del aprendizaje de máquina. Sus ideas de representar datos mediante la descripción de todo lo que no son, han inspirado a otros investigadores y son tema de múltiples tesis doctorales alrededor del mundo.
El Dr. Esponda es también experto en aprendizaje de máquina y ha diseñado aplicaciones para, entre otras cosas, la detección de fraude y la calificación de riesgo crediticio. Tiene más de 17 artículos publicados en las áreas de seguridad de la información y sistemas complejos y, su trabajo ha sido reportado en medios de divulgación de alto impacto como en las revistas The Economist y BioMedical Computation.
El Dr. Esponda ha servido como consejero técnico de las Naciones Unidas y ha sido asesor de múltiples startups en México y EU.

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Intereses de investigación

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  • Sistemas Adaptativos Complejos
  • Seguridad de la Información

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Cursos

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  • Aprendizaje de Máquina
  • Sistemas Complejos Adaptativos
  • Algoritmos y Programas
  • Introducción a las Estructuras de Datos
  • Estructuras de Datos Avanzadas
  • Inteligencia Artificial
  • Métodos de Clasificación e Inferencia de Datos

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El programa de la Maestría en Ciencia de Datos es una iniciativa del ITAM para satisfacer la creciente demanda nacional e internacional de profesionistas con conocimientos sólidos en el modelado a partir de datos (en especial grandes datos) para ayudar a la toma de decisiones estratégicas.

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