£97.00

Machine Learning for Materials Discovery: Numerical Recipes and Practical Applications (Machine Intelligence for Materials Science)

Price data last checked 149 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

This is the usual price. Wait for it to drop, or tell us your number.

£97 today · usual range £0–£0 · best ever £86

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

↓ Price chart
when this has been cheap or pricey
↓ Forecast
where the price is heading next
↓ Statistics
all-time high & low, recent range
↑ Price alert
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 375 days • 375 data points (No recent data available)

Historical
Generating forecast...
£115.22 £83.08 £90.09 £97.10 £104.12 £111.13 £118.14 02 January 2025 05 April 2025 08 July 2025 09 October 2025 11 January 2026

Price Distribution

Price distribution over 375 days • 5 price levels

Days at Price
Current Price
44 days 318 days · current 2 days 8 days 3 days 0 80 159 239 318 £86 £97 £108 £109 £115 Days at Price

Price Analysis

Most common price: £97 (318 days, 84.8%)

Price range: £86 - £115

Price levels: 5 different prices over 375 days

Description

Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for applications in materials modeling and discovery. The book explains complex mathematical concepts in a lucid manner to ensure that readers from different materials domains are able to use these techniques successfully. A unique feature of this book is its hands-on aspect―each method presented herein is accompanied by a code that implements the method in open-source platforms such as Python. This book is thus aimed at graduate students, researchers, and engineers to enable the use of data-driven methods for understanding and accelerating the discovery of novel materials.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
07 May 2024
Listed Since
19 August 2023

Barcode

No barcode data available

Similar Products You Might Like

Introduction to Computational Materials Science: Fundamentals to Applications
97% match

Introduction to Computational Materials Science: Fundamentals to Applications

Cambridge University Press

£71.88 20 Apr 2026
Computational Approaches to Materials Design: Theoretical and Practical Aspects (Advances in Chemical and Materials Engineering)
96% match

Computational Approaches to Materials Design: Theoretical and Practical Aspects (Advances in Chemical and Materials Engineering)

IGI Global

£183.38 12 Jan 2026
Essential Topics in Materials Physics and Chemistry: Volume II: 2
96% match

Essential Topics in Materials Physics and Chemistry: Volume II: 2

NY Research Press

£60.27 04 Mar 2026
Physical Foundations of Materials Science
96% match

Physical Foundations of Materials Science

Springer

£65.82 26 Feb 2026
Materials Informatics: Methods, Tools, and Applications
96% match

Materials Informatics: Methods, Tools, and Applications

Wiley

£100.00 07 Jan 2026
Materials Informatics and Catalysts Informatics: An Introduction
96% match

Materials Informatics and Catalysts Informatics: An Introduction

Springer

£85.17 11 Mar 2026
Computational Studies of New Materials
96% match

Computational Studies of New Materials

Scientific Publishing

£72.00 19 Apr 2026
Materials Science and Engineering: An Integrated Approach
96% match

Materials Science and Engineering: An Integrated Approach

NY Research Press

£72.29 27 Feb 2026
The 2nd International Congress on 3D Materials Science: Congress Proceedings (The Minerals, Metals & Materials Series)
96% match

The 2nd International Congress on 3D Materials Science: Congress Proceedings (The Minerals, Metals & Materials Series)

Springer

£81.97 08 Mar 2026
Multiscale Paradigms in Integrated Computational Materials Science and Engineering: Materials Theory, Modeling, and Simulation for Predictive Design: 226 (Springer Series in Materials Science, 226)
96% match

Multiscale Paradigms in Integrated Computational Materials Science and Engineering: Materials Theory, Modeling, and Simulation for Predictive Design: 226 (Springer Series in Materials Science, 226)

Springer

£75.73 08 Mar 2026
Theoretical Models and Experimental Approaches in Physical Chemistry: Research Methodology and Practical Methods (Innovations in Physical Chemistry)
96% match

Theoretical Models and Experimental Approaches in Physical Chemistry: Research Methodology and Practical Methods (Innovations in Physical Chemistry)

CRC Press

£119.00 08 Mar 2026
Computational Materials Science: From Ab Initio to Monte Carlo Methods
96% match

Computational Materials Science: From Ab Initio to Monte Carlo Methods

Springer

£58.65 15 Apr 2026
Physical Properties of Materials For Engineers: Volume 3
95% match

Physical Properties of Materials For Engineers: Volume 3

CRC Press

£164.00 13 Jan 2026
Numerical Modeling in Materials Science and Engineering: 32 (Springer Series in Computational Mathematics, 32)
95% match

Numerical Modeling in Materials Science and Engineering: 32 (Springer Series in Computational Mathematics, 32)

Springer

£141.18 24 Jan 2026
Information Science for Materials Discovery and Design: 225 (Springer Series in Materials Science, 225)
95% match

Information Science for Materials Discovery and Design: 225 (Springer Series in Materials Science, 225)

Springer

£99.40 09 Mar 2026
Material Science and Engineering: Proceedings of the 3rd Annual 2015 International Conference on Material Science and Engineering (ICMSE2015, Guangzhou, Guangdong, China, 15-17 May 2015)
95% match

Material Science and Engineering: Proceedings of the 3rd Annual 2015 International Conference on Material Science and Engineering (ICMSE2015, Guangzhou, Guangdong, China, 15-17 May 2015)

CRC Press

£195.00 12 Jan 2026
Materials Discovery and Design: By Means of Data Science and Optimal Learning: 280 (Springer Series in Materials Science, 280)
95% match

Materials Discovery and Design: By Means of Data Science and Optimal Learning: 280 (Springer Series in Materials Science, 280)

Springer

£123.23 11 Mar 2026
Materials Engineering: Bonding, Structure, and Structure-Property Relationships
95% match

Materials Engineering: Bonding, Structure, and Structure-Property Relationships

Cambridge University Press

£75.57 06 Jan 2026
95% match

Mechanics of Materials

Wiley

£78.50 05 Feb 2026
Computational Materials Discovery
95% match

Computational Materials Discovery

Royal Society of Chemistry

£164.00 01 Feb 2026
Statistical Methods for Materials Science: The Data Science of Microstructure Characterization
95% match

Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

CRC Press

£130.00 11 Jan 2026
Physics of Materials
95% match

Physics of Materials

CRC Press

£62.93 17 Feb 2026
Inorganic Materials Synthesis and Fabrication
95% match

Inorganic Materials Synthesis and Fabrication

Wiley

£98.57 22 Feb 2026
Machine Learning for Science and Engineering: Volume I: Fundamentals (Course Notes)
95% match

Machine Learning for Science and Engineering: Volume I: Fundamentals (Course Notes)

£74.00 09 Jan 2026