Marketplace.
The Statistical Physics Of Data Assimilation And Machine Learning
£58.16
£58.16/each
Sold and sent by Speedyhen
Delivered by post or courier
Delivery
- FREE standard courier delivery by Thu 7 Aug
Returns
Returns available within 30 days.
The Statistical Physics Of Data Assimilation And Machine Learning
£58.16
£58.16/each
Description
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.
Sold by Speedyhen (Speedy Hen LTD)
| Author | Henry D. I. Abarbanel |
|---|---|
| ISBN-13 | 9781316519639 |
| Item Height | 2.7 |
| Item Length | 17.6 |
| Item Width | 25 |
| Publisher | Cambridge General Academic |
Delivery
- FREE standard courier delivery by Thu 7 Aug
Returns
Not happy with a Marketplace item? You can request a return and refund online up to 30 days after the delivery date. You'll need to return the item to the Marketplace seller.Our returns policy
About Marketplace
We're giving you more choice than ever before. Shop more products from more brands across homewares, beauty, electricals and much more.
Sold and sent by trusted sellers right to your door.
No reviews yet
Help other customers like you
Reviews are submitted by our customers directly through our website. We also share reviews from other retailers' websites to help you make an informed decision.
Write a review