We can't find the internet
Attempting to reconnect
Something went wrong
Hang in there while we get back on track
£76.41
Springer Variational Methods for Machine Learning with Applications to Deep Networks
Price data last checked 21 day(s) ago - will refresh soon
We'll watch every seller, every day. One email when your price arrives.
This is the most expensive it has ever been. Walk away.
£76 today · previous high £76 · all-time low £76
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 History & Forecast
Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.
Last 70 days · 70 data points (no recent data)
Price Distribution
Price distribution over 70 days • 1 price levels
Price Analysis
Most common price: £76 (70 days, 100.0%)
Price range: £76 - £76
Price levels: 1 different prices over 70 days
Description
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 3030706788
- Domain
- Amazon UK
- Release Date
- 11 May 2021
- Listed Since
- 28 January 2021
Barcode
No barcode data available
Similar Products You Might Like
Neural Networks and Statistical Learning
Springer
Bayesian Speech and Language Processing
Cambridge University Press
Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods (Genetic and Evolutionary Computation)
Springer
Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and Applications
Springer
Deep Learning Generalization: Theoretical Foundations and Practical Strategies
Chapman and Hall/CRC
Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications: 18 (Learning and Analytics in Intelligent Systems, 18)
Springer
Deep Biometrics (Unsupervised and Semi-Supervised Learning)
Springer
Deep Reinforcement Learning: Frontiers of Artificial Intelligence
Springer
Deep Reinforcement Learning: Frontiers of Artificial Intelligence
Springer
Mathematical Foundations of Deep Learning: Theory and Algorithms (Chapman & Hall/CRC Mathematics and Artificial Intelligence Series)
Chapman and Hall/CRC
Springer Geometry of Deep Learning - Signal Processing Book
Springer
Deep Neural Evolution: Deep Learning with Evolutionary Computation (Natural Computing Series)
Springer
Innovations in Bayesian Networks: Theory and Applications: 156 (Studies in Computational Intelligence, 156)
Springer
Machine Learning and Its Application: A Quick Guide for Beginners
Machine Learning with Python: Neural Networks, Algorithms, Deep Learning (De Gruyter Textbook)
De Gruyter
Deep Learning Applications for Cyber Security (Advanced Sciences and Technologies for Security Applications)
Springer
Introduction to Bayesian Statistics
Springer
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger
Springer
Computational Learning and Probabilistic Reasoning
Wiley
Recent Trends in Learning From Data: Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019): 896 (Studies in Computational Intelligence, 896)
Springer
Bayesian Computational Methods in Statistical Signal Processing (Chapman & Hall/CRC Interdisciplinary Statistics)
Chapman and Hall/CRC
Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide
Elsevier
Learning in Non-Stationary Environments: Methods and Applications
Springer
Data Classification and Incremental Clustering in Data Mining and Machine Learning (EAI/Springer Innovations in Communication and Computing)
Springer