We can't find the internet
Attempting to reconnect
Something went wrong
Hang in there while we get back on track
£115.91
It has never been this cheap. We have no record of a lower price.
£116 today · cheaper than every other day in the last 3 months
Springer - Recent Trends in Modelling Continuous Time Series
We'll watch every seller, every day. One email when your price arrives.
Price History & Forecast
Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.
Last 69 days · 69 data points (no recent data)
NEW HERE?
Amazon shows you one price. We show you all of them.
Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.
WHAT'S ON THIS PAGE
when this has been cheap or pricey
where the price is heading next
all-time high & low, recent range
name your number, we'll email you
Price Distribution
Price distribution over 69 days • 1 price levels
Price Analysis
Most common price: £116 (69 days, 100.0%)
Price range: £116 - £116
Price levels: 1 different prices over 69 days
Description
Key Features
This book by Springer covers recent trends in modelling continuous time series.
Focuses on the application of deep learning techniques for time series data.
Provides content relevant to the fields of AI and machine learning.
Categorized under Computer Science and Computing within the Springer collection.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 303218021X
- Domain
- Amazon UK
- Release Date
- 14 May 2026
- Listed Since
- 06 January 2026
Barcode
No barcode data available
Similar Products You Might Like
Theoretical Foundations of Deep Learning
Springer
Elements of Deep Learning
Springer
Multi-faceted Deep Learning: Models and Data
Springer
Shallow and Deep Learning Principles: Scientific, Philosophical, and Logical Perspectives
Springer
Deep Learning Networks: Design, Development and Deployment
Springer
Deep Learning Foundations
Springer
Deep Learning in Natural Language Processing
Springer
Deep Learning in Computational Mechanics: An Introductory Course
Springer
Deep Learning and Signal-Processing Methods for Multisensor Data Fusion: Applications to Ambulatory Health Monitoring
Springer
Real-World Applications of Machine Learning (Mathematics for Sustainable Developments)
Springer
Deep Learning Models: A Practical Approach for Hands-On Professionals (Transactions on Computer Systems and Networks)
Springer
Artificial Intelligence for Scientific Discoveries: Extracting Physical Concepts from Experimental Data Using Deep Learning
Springer
Machine Learning Applications in Medicine and Biology
Springer
AI Time Series Control System Modelling
Springer
Data-driven Modelling and Scientific Machine Learning in Continuum Physics: 60 (Interdisciplinary Applied Mathematics, 60)
Springer
Deep Learning Approaches for Spoken and Natural Language Processing (Signals and Communication Technology)
Springer
Data Driven Model Learning for Engineers: With Applications to Univariate Time Series
Springer
Deep Learning for Security and Privacy Preservation in IoT (Signals and Communication Technology)
Springer
Deep Learning Technologies for the Sustainable Development Goals: Issues and Solutions in the Post-COVID Era (Advanced Technologies and Societal Change)
Springer
Data-driven Modelling and Scientific Machine Learning in Continuum Physics: 60 (Interdisciplinary Applied Mathematics, 60)
Springer
Deep Learning and Computer Vision: Models and Biomedical Applications: Volume 1 (Algorithms for Intelligent Systems)
Springer
Data-Driven Industrial Artificial Intelligence: Methods and Applications
Springer
Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Springer
Machine Learning Techniques for Smart City Applications: Trends and Solutions (Advances in Science, Technology & Innovation)
Springer