Introduction to Statistical Mechanics, Machine Learning, and Data Science through Social Group Analogies

By applying a data analytics approach to molecular systems, we can draw parallels between social groups and assemblies of molecules. This innovative perspective introduces key concepts in statistical mechanics, machine learning, and data science. By examining individual molecular features and interactions, we can predict the properties and collective behavior of molecular systems, much like how polling and social networking inform us about social group behavior.

Key Features

• Draws on a data analytics approach of molecular systems
• Covers hot topics such as artificial intelligence and machine learning of molecular trends
• Contains applications to systems at the cutting-edge of research for biological, environmental, and energy applications
• Discusses molecular simulation and links with other important, emerging techniques and trends in computational sciences and society
• Authors have a well-established track record and reputation in the field

Product Details

Publisher: CRC Press

Publication Date: January 29, 2024

Language: English

ISBN: 9780367438937, 9781003832430