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  • Artificial Intelligence Essentials

    de Oliver Kramer ...
    Series series Artificial Intelligence (R0)
    The book provides a structured introduction to core areas of artificial intelligence, including machine learning, deep learning, large language models, and agent-based systems. It combines theoretical foundations with practical implementation, using tools such as scikit-learn, Keras, and Ollama. Each chapter includes code examples, exercises, and links to interactive notebooks. The focus lies on ... Leer más

    $71.99 USD

  • Matzoh Ball Soup

    A Collection of Personal Stories, Poems, and Rabbinical Sermons to Inspire the Jewish Spirit

    Matzoh Ball Soup is a distinctive collection of personal stories, poems, and rabbinical sermons that inspires the Jewish spirit. This collaboration of many impressive figures has resulted in a heartfelt and poignant anthology that is rich in both quality and content.The selections in Matzoh Ball Soup have been collected as a way to help individuals understand many of life's important lessons ... Leer más

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  • A Brief Introduction to Continuous Evolutionary Optimization

    de Oliver Kramer ...
    Series series Engineering (R0)
    Practical optimization problems are often hard to solve, in particular when they are black boxes and no further information about the problem is available except via function evaluations. This work introduces a collection of heuristics and algorithms for black box optimization with evolutionary algorithms in continuous solution spaces. The book gives an introduction to evolution strategies and ... Leer más

    $49.99 USD

  • Pasta Heroes

    de Oliver Kramer ...
    Mutated rats with high intelligence and a refined taste for food escape from a laboratory in New York. While fast food chains remain untouched by those little hairy gourmets, restaurants like Pasta Heaven are overrun. Time for it's owner, Vincent, and his employees to grab a gun and go to war. Length: 19.000 words. ... Leer más

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  • Data Analytics for Renewable Energy Integration

    4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016, Revised Selected Papers

    Series series Springer Nature Proceedings Computer Science
    This book constitutes revised selected papers from the 4th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2016, held in Riva del Garda, Italy, in September 2016.The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and ... Leer más

    $49.99 USD

  • Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy

    5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, Revised Selected Papers

    Series series Springer Nature Proceedings Computer Science
    This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017.The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and ... Leer más

    $49.99 USD

  • Genetic Algorithm Essentials

    de Oliver Kramer ...
    Series series Engineering (R0)
    This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations.The book is divided into three parts, the first of which provides ... Leer más

    $134.99 USD

  • Machine Learning for Evolution Strategies

    de Oliver Kramer ...
    Series series Engineering (R0)
    This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search and visualization of high-dimensional optimization processes, and clustering-based niching. After ... Leer más

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  • Principles Of Artificial Neural Networks (3rd Edition)

    de Daniel Graupe ...
    Series Libro 7 - Advanced Series In Circuits And Systems
    Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications ... Leer más

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  • Statistical and Machine Learning Approaches for Network Analysis

    Series Libro 707 - Wiley Series in Computational Statistics
    Explore the multidisciplinary nature of complex networks through machine learning techniquesStatistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book ... Leer más

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  • Computational Intelligence

    Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

    Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy ... Leer más

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  • Gmdh-methodology And Implementation In Matlab

    Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine.This is the first ... Leer más

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