Machine learning for time-series with Python : forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Machine learning for time-series with Python forecast, predict, and detect anomalies with state-of-the-art machine learning methods

The book contains the most common as well as state-of-the-art methods in machine learning for time-series, and examples that every data scientist or analyst would have encountered, if not in their job, then in a job interview.

Detalles Bibliográficos
Otros Autores: Auffarth, Ben, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited [2021]
Materias:
Machine learning.
Time-series analysis > Data processing.
Time-series analysis > Computer programs.
Python (Computer program language)
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009644271706719
Descripción
Sumario:The book contains the most common as well as state-of-the-art methods in machine learning for time-series, and examples that every data scientist or analyst would have encountered, if not in their job, then in a job interview.
Notas:Description based upon print version of record.
Adaptive learning methods.
Descripción Física:1 online resource (371 pages)
ISBN:9781801816106

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