ChemML in Action: Practical Machine Learning for Chemical Sciences

Name: ChemML in Action: Practical Machine Learning for Chemical Sciences
Brand: Independently Published
SKU: 9798197958020
Price: 3224.0 INR
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by Danny Munrow , Livia Arden

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ISBN13: 9798197958020
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: May 20, 2026
Pages: 486
Original Price: GBP 28.36
Language: English
Edition: N/A
Item Weight: 581 grams
BISAC Subject(s): Chemistry / General

About The Book

Reactive Publishing

ChemML in Action: Practical Machine Learning for Chemical Sciences

Unlock the power of machine learning to transform how you approach research in chemistry and materials science.

This hands-on guide bridges the gap between theoretical machine learning concepts and real-world chemical applications. Whether you're a chemist exploring data-driven methods for the first time or an experienced researcher looking to integrate ML workflows into your laboratory or computational pipeline, this book provides clear, practical instruction tailored specifically to the needs of the chemical sciences.

What you'll find inside:

Step-by-step tutorials on applying machine learning techniques to common challenges in molecular property prediction, reaction modeling, materials discovery, and spectral analysis
Guidance on preparing and featurizing chemical data for ML models
Practical examples using Python libraries and tools designed for cheminformatics
Strategies for building reproducible, interpretable models that address real scientific questions
Best practices for avoiding common pitfalls when moving from traditional computational chemistry to data-driven approaches

Written in an accessible style with minimal jargon, ChemML in Action emphasizes working code, visual explanations, and immediately applicable techniques. No prior deep expertise in machine learning or programming is assumed, only a foundational knowledge of chemistry.

Ideal for graduate students, academic researchers, and industry scientists seeking to accelerate discovery through modern computational methods.

Start applying practical machine learning to your chemical research today.

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