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« markus c hemmer »

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  • Expert Systems in Chemistry Research

    Expert systems allow scientists to access, manage, and apply data and specialized knowledge from various disciplines to their own research. Expert Systems in Chemistry Research explains the general scientific basis and computational principles behind expert systems and demonstrates how they can improve the efficiency of scientific workflows ... En savoir plus

    $384.77 CAD

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  • A Practical Guide to Quantum Machine Learning and Quantum Optimization

    Hands-on Approach to Modern Quantum Algorithms

    Work with fully explained algorithms and ready-to-use examples that can be run on quantum simulators and actual quantum computers with this comprehensive guideKey FeaturesGet a solid grasp of the principles behind quantum algorithms and optimization with minimal mathematical prerequisitesLearn the process of implementing the algorithms on simulators and actual quantum computersSolve real-world ... En savoir plus

    $45.99 CAD ou Gratuit avec Kobo Plus

  • Learning PyTorch 2.0

    par Matthew Rosch ...
    This book is a comprehensive guide to understanding and utilizing PyTorch 2.0 for deep learning applications. It starts with an introduction to PyTorch, its various advantages over other deep learning frameworks, and its blend with CUDA for GPU acceleration. We delve into the heart of PyTorch – tensors, learning their different types, properties, and operations. Through step-by-step examples, the ... En savoir plus

    $43.99 CAD ou Gratuit avec Kobo Plus

  • Statistical Modelling of Molecular Descriptors in QSAR/QSPR

    Collections series Quantitative and Network Biology
    This handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods to meet the challenge of designing empirical models involving molecular descriptors within bioinformatics. The topics range from investigating information processing in chemical and biological networks to studying statistical and information-theoretic techniques for analyzing ... En savoir plus

    $157.99 CAD

  • Learning PyTorch 2.0

    Experiment deep learning from basics to complex models using every potential capability of Pythonic PyTorch

    par Matthew Rosch ...
    This book is a comprehensive guide to understanding and utilizing PyTorch 2.0 for deep learning applications. It starts with an introduction to PyTorch, its various advantages over other deep learning frameworks, and its blend with CUDA for GPU acceleration. We delve into the heart of PyTorch - tensors, learning their different types, properties, and operations. Through step-by-step examples, the ... En savoir plus

    $31.99 CAD

  • Machine Learning Theory and Applications

    Hands-on Use Cases with Python on Classical and Quantum Machines

    par Xavier Vasques ...
    Machine Learning Theory and ApplicationsEnables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python librariesMachine Learning Theory and Applications delves into the realm of machine learning and deep learning, exploring their practical applications by comprehending mathematical concepts and implementing them ... En savoir plus

    $94.99 CAD

  • Python for Chemistry

    An introduction to Python algorithms, Simulations, and Programing for Chemistry (English Edition)

    Python is a versatile and powerful computer language without a steep learning curve. It can be deployed to simulate various physicochemical parameters or to analyze complex molecular, bio-molecular, and crystalline structures. The objective of this book is to give a gentle introduction to Python programming with relevant algorithms, iterations, and basic simulations from a chemist’s perspective. ... En savoir plus

    $21.99 CAD ou Gratuit avec Kobo Plus

  • Machine Learning for Materials Discovery

    Numerical Recipes and Practical Applications

    Collections series Physics and Astronomy (R0)
    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 ... En savoir plus

    $217.99 CAD

  • Chemical and Biomedical Engineering Calculations Using Python

    par Jeffrey J. Heys ...
    Presents standard numerical approaches for solving common mathematical problems in engineering using Python.Covers the most common numerical calculations used by engineering studentsCovers Numerical Differentiation and Integration, Initial Value Problems, Boundary Value Problems, and Partial Differential EquationsFocuses on open ended, real world problems that require students to write a short ... En savoir plus

    $95.99 CAD

  • Quantum Chemistry in the Age of Machine Learning

    Modifié par Pavlo O. Dral ...
    Quantum chemistry is simulating atomistic systems according to the laws of quantum mechanics, and such simulations are essential for our understanding of the world and for technological progress. Machine learning revolutionizes quantum chemistry by increasing simulation speed and accuracy and obtaining new insights. However, for nonspecialists, learning about this vast field is a formidable ... En savoir plus

    $194.99 CAD

  • Tutorials in Chemoinformatics

    Modifié par Alexandre Varnek ...
    30 tutorials and more than 100 exercises in chemoinformatics, supported by online software and data setsChemoinformatics is widely used in both academic and industrial chemical and biochemical research worldwide. Yet, until this unique guide, there were no books offering practical exercises in chemoinformatics methods. Tutorials in Chemoinformatics contains more than 100 exercises in 30 tutorials ... En savoir plus

    $118.99 CAD

  • Mobility Data Management and Exploration

    Collections series Computer Science (R0)
    This text integrates different mobility data handling processes, from database management to multi-dimensional analysis and mining, into a unified presentation driven by the spectrum of requirements raised by real-world applications. It presents a step-by-step methodology to understand and exploit mobility data: collecting and cleansing data, storage in Moving Object Database (MOD) engines, ... En savoir plus

    $64.09 CAD