Advanced Data Analytics Using Python With Machine Learning, Deep Learning and NLP Examples

Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic tradin...

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Detalles Bibliográficos
Autor principal: Mukhopadhyay, Sayan. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2018.
Edición:1st ed. 2018.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630598606719
Tabla de Contenidos:
  • Chapter 1: Introduction
  • Chapter 2: ETL with Python
  • Chapter 3: Supervised Learning with Python
  • Chapter 4: Unsupervised Learning with Python
  • Chapter 5: Deep Learning & Neural Networks
  • Chapter 6: Time Series Analysis
  • Chapter 7: Python in Emerging Technologies.