We can't find the internet
Attempting to reconnect
Something went wrong
Hang in there while we get back on track
£111.06
Springer Machine Learning: Theoretical Foundations & Applications
Price data checked 7 days ago
We'll watch every seller, every day. One email when your price arrives.
It has never been this cheap. We have no record of a lower price.
£111 today · cheaper than every other day in the last 3 months
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 84 days · 84 data points (no recent data)
Price Distribution
Price distribution over 84 days • 3 price levels
Price Analysis
Most common price: £112 (37 days, 44.0%)
Price range: £111 - £116
Price levels: 3 different prices over 84 days
Description
Key Features
Expertly curated chapters presented by industry specialists during the 10th industry symposium and 16th edition of ICDCIT.
Comprehensive coverage of core topics including statistical learning, neural network learning, and knowledge acquisition.
B07SV6Q47G
Detailed insights into advanced data processing such as text, multimedia, and mobile data mining.
Technical discussion on the implementation of distributed and parallel learning algorithms for large-scale applications.
Part of the Studies in Big Data series, providing a specialized academic foundation for modern data science.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 981336520X
- Domain
- Amazon UK
- Release Date
- 21 April 2022
- Listed Since
- 25 March 2022
Barcode
No barcode data available
Similar Products You Might Like
Machine Learning: Theoretical Foundations and Practical Applications: 87 (Studies in Big Data, 87)
Springer
Machine Learning: Discriminative and Generative: 755 (The Springer International Series in Engineering and Computer Science, 755)
Springer
Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Springer
Machine Learning Refined: Foundations, Algorithms, and Applications
Cambridge University Press
Machine Learning for Societal Improvement, Modernization, and Progress (Advances in Human and Social Aspects of Technology)
Machine Learning Technologies and Applications: Proceedings of ICACECS 2020 (Algorithms for Intelligent Systems)
Springer
Machine Learning: Algorithms and Applications
CRC Press
Innovations in Machine Learning: Theory and Applications: 194 (Studies in Fuzziness and Soft Computing, 194)
Springer
Machine Learning: The Basics (Machine Learning: Foundations, Methodologies, and Applications)
Springer
Innovations in Machine and Deep Learning: Case Studies and Applications: 134 (Studies in Big Data, 134)
Springer
Machine Learning Principles and Techniques (Chapman & Hall Computing)
Cengage Learning
Machine Learning: ECML-95: 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25 - 27, 1995. Proceedings: 912 (Lecture Notes in Computer Science, 912)
Springer
Machine Learning
Springer
Machine Learning
Springer
Machine Learning for Science and Engineering: Volume I: Fundamentals (Course Notes)
Understanding Machine Learning: From Theory to Algorithms
Cambridge University Press
Machine Learning: Algorithms and Applications
CRC Press
Machine Learning for Engineers: Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications
Springer
Machine Learning: A Journey to Deep Learning with Exercises and Answers
World Scientific Publishing Company
Springer - Machine Learning in Industry Book
Springer
Machine Learning Approaches for Urban Computing: 968 (Studies in Computational Intelligence, 968)
Springer
Machine Learning Research Progress
Introduction to Machine Learning: From Math to Code
Cambridge University Press
Machine Learning and Artificial Intelligence
Springer