Name: The Statistical Physics of Data Assimilation and Machine Learning (en Inglés)
SKU: 54034394
Price: 107.43 USD
Availability: InStock
Author: Abarbanel, Henry D. I.
ISBN: 9781316519639

portada The Statistical Physics of Data Assimilation and Machine Learning (en Inglés)

The Statistical Physics of Data Assimilation and Machine Learning (en Inglés)

Formato

Libro Físico

Autor

Henry D. I. Abarbanel

Editorial

Cambridge University Press

Año

2022

Idioma

Inglés

N° páginas

350

Encuadernación

Tapa Dura

Dimensiones

25.1x17.3x1.5 cm

Peso

0.50 kg.

ISBN13

9781316519639

Categorías

Física matemática

The Statistical Physics of Data Assimilation and Machine Learning (en Inglés)

Henry D. I. Abarbanel (Autor) · Cambridge University Press · Tapa Dura

Libro Nuevo Importado

Envío: 18 a 25 días háb.

$ 195.33$ 107.43

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 107.43

Llega entre el 26 Oct y el 10 Nov a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "The Statistical Physics of Data Assimilation and Machine Learning (en Inglés)"

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.