Isbn: 9781032670812 - molecular networking: statistical mechanics in the age of ai and machine learning (18 risultati)

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Paperback. Condizione: Brand New. 248 pages. 10.00x7.00x10.00 inches. In Stock.

Condizione: New. Brand New ! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Taschenbuch. Condizione: Neu. Molecular Networking | Statistical Mechanics in the Age of AI and Machine Learning | Caroline Desgranges (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | CRC Press | EAN 9781032670812 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book builds on the analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, machine learning and data science. Applying a data analytics approach to molecular systems, we show how individual (molecular) features and interactions between molecules, or 'communication' processes, allow for the prediction of properties and collective behavior of molecular systems - just as polling and social networking shed light on the behavior of social groups. Applications to systems at the cutting-edge of research for biological, environmental, and energy applications are also presented.Key features:Draws on a data analytics approach of molecular systemsCovers hot topics such as artificial intelligence and machine learning of molecular trendsContains applications to systems at the cutting-edge of research for biological, environmental and energy applicationsDiscusses molecular simulation and links with other important, emerging techniques and trends in computational sciences and societyAuthors have a well-established track record and reputation in the field 250 pp. Englisch.…

Paperback. Condizione: new. Paperback. The book builds on the analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, machine learning and data science. Applying a data analytics approach to molecular systems, we show how individual (molecular) features and interactions between molecules, or "communication" processes, allow for the prediction of properties and collective behavior of molecular systems - just as polling and social networking shed light on the behavior of social groups. Applications to systems at the cutting-edge of research for biological, environmental, and energy applications are also presented.Key features:Draws on a data analytics approach of molecular systemsCovers hot topics such as artificial intelligence and machine learning of molecular trendsContains applications to systems at the cutting-edge of research for biological, environmental and energy applicationsDiscusses molecular simulation and links with other important, emerging techniques and trends in computational sciences and societyAuthors have a well-established track record and reputation in the field The book builds on an analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, machine learning and data science. Applications to systems at the cutting-edge of research e.g. environmental and energy applications, will be used. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book builds on the analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, machine learning and data science. Applying a data analytics approach to molecular systems, we show how individual (molecular) features and interactions between molecules, or 'communication' processes, allow for the prediction of properties and collective behavior of molecular systems - just as polling and social networking shed light on the behavior of social groups. Applications to systems at the cutting-edge of research for biological, environmental, and energy applications are also presented.Key features:Draws on a data analytics approach of molecular systemsCovers hot topics such as artificial intelligence and machine learning of molecular trendsContains applications to systems at the cutting-edge of research for biological, environmental and energy applicationsDiscusses molecular simulation and links with other important, emerging techniques and trends in computational sciences and societyAuthors have a well-established track record and reputation in the field.…