Chapman & Hall/CRC Machine Learning & Pattern Recognition – serie
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50 produkter
Data Science and Machine Learning
Mathematical and Statistical Methods, Second Edition
Av Zdravko Botev, Dirk P. Kroese m. fl.
Inbunden, 2025
1229 kr
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Praise for the first edition:“In nine succinct but information-packed chapters, the authors provide a logically structured and robust introduction to the mathematical and statistical methods underpinning the still-evolving field of AI and data science.”- Joacim Rocklöv and Albert A. Gayle, …
Pragmatic Programmer for Machine Learning
Engineering Analytics and Data Science Solutions
Av Marco Scutari, Mauro Malvestio
Häftad, 2025
756 kr
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Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life. The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions discusses how modern software engineering practices are part of this …
Pragmatic Programmer for Machine Learning
Engineering Analytics and Data Science Solutions
Av Marco Scutari, Mauro Malvestio
Inbunden, 2023
1266 kr
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Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life. The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions discusses how modern software engineering practices are part of this …
Utility-Based Learning from Data
Av Craig Friedman, Sven Sandow
Häftad, 2019
647 kr
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Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment. This approach is motivated by the idea that probabilistic models are usually not …
First Course in Machine Learning
Av Simon Rogers, Mark Girolami
Häftad, 2020
726 kr
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"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes …
Statistical Reinforcement Learning
Modern Machine Learning Approaches
Häftad, 2020
735 kr
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Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions. With numerous successful applications in business intelligence, plant control, and gaming, the RL framework is ideal for …
Deep Learning and Linguistic Representation
Häftad, 2021
951 kr
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The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this …
Deep Learning and Linguistic Representation
Inbunden, 2021
2585 kr
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The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this …
Sparse Modeling
Theory, Algorithms, and Applications
Av Irina Rish, Genady Grabarnik
Häftad, 2020
735 kr
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Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing.Sparse Modeling: Theory, …
Regularization, Optimization, Kernels, and Support Vector Machines
Av Johan A.K. Suykens, Marco Signoretto m. fl.
Häftad, 2020
735 kr
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Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and …
Computational Trust Models and Machine Learning
Av Xin Liu, Anwitaman Datta m. fl.
Häftad, 2020
735 kr
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Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various computer science areas, including multi-agent systems, online social networks, and communication systems. Identifying trust modeling challenges that cannot be …
Transformers for Machine Learning
A Deep Dive
Av Uday Kamath, Kenneth Graham m. fl.
Häftad, 2022
756 kr
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Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. …
Transformers for Machine Learning
A Deep Dive
Av Uday Kamath, Kenneth Graham m. fl.
Inbunden, 2022
1880 kr
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Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. …
Artificial Intelligence and Causal Inference
Av Momiao Xiong
Inbunden, 2022
2131 kr
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Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, …
Concise Introduction to Machine Learning
Av A.C. Faul
Häftad, 2019
759 kr
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The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often taught side by side without showing the similarities and differences between them. This book addresses the …
Deep and Shallow
Machine Learning in Music and Audio
Häftad, 2023
771 kr
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Providing an essential and unique bridge between the theories of signal processing, machine learning, and artificial intelligence (AI) in music, this book provides a holistic overview of foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations. …
Deep and Shallow
Machine Learning in Music and Audio
Inbunden, 2023
2195 kr
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Providing an essential and unique bridge between the theories of signal processing, machine learning, and artificial intelligence (AI) in music, this book provides a holistic overview of foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations. …
Artificial Intelligence and Causal Inference
Av Momiao Xiong
Häftad, 2024
735 kr
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Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, …
Introduction to Machine Learning with Applications in Information Security
Av Mark Stamp
Inbunden, 2022
1266 kr
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Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn’t prove …
Introduction to Machine Learning with Applications in Information Security
Av Mark Stamp
Häftad, 2024
756 kr
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Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn’t prove …
Entropy Randomization in Machine Learning
Av Yuri S. Popkov, Alexey Yu. Popkov m. fl.
Inbunden, 2022
1566 kr
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Entropy Randomization in Machine Learning presents a new approach to machine learning—entropy randomization—to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study). Randomized machine-learning procedures involve models with random parameters and maximum …
Entropy Randomization in Machine Learning
Av Yuri S. Popkov, Alexey Yu. Popkov m. fl.
Häftad, 2024
741 kr
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Entropy Randomization in Machine Learning presents a new approach to machine learning—entropy randomization—to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study). Randomized machine-learning procedures involve models with random parameters and maximum …
Machine Learning, Animated
Av Mark Liu
Häftad, 2025
1251 kr
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The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand. Machine Learning, Animated eases you into basic ML concepts and summarizes the learning process in three words: initialize, adjust and repeat. …
Machine Learning, Animated
Av Mark Liu
Inbunden, 2023
1266 kr
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The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand. Machine Learning, Animated eases you into basic ML concepts and summarizes the learning process in three words: initialize, adjust and repeat. …
Bayesian Programming
Av Pierre Bessiere, Emmanuel Mazer m. fl.
Häftad, 2023
749 kr
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Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to …
Concise Introduction to Machine Learning
Av A.C. Faul
Häftad, 2025
807 kr
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A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available on GitHub and can be run from there in Binder in a …
Concise Introduction to Machine Learning
Av A.C. Faul
Inbunden, 2025
2131 kr
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A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available on GitHub and can be run from there in Binder in a …
Ensemble Methods
Foundations and Algorithms
Av Zhi-Hua Zhou
Inbunden, 2025
1229 kr
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Ensemble methods that train multiple learners and then combine them to use, with Boosting and Bagging as representatives, are well-known machine learning approaches. It has become common sense that an ensemble is usually significantly more accurate than a single learner, and ensemble methods have …
Bayesian Programming
Av Pierre Bessiere, Emmanuel Mazer m. fl.
E-bok, 2013
727 kr
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A new modeling methodology, new inference algorithms, new programming languages, and new hardware are all needed to create a complete Bayesian computing framework. Focusing on the methodology and algorithms, this book describes the first steps toward reaching that goal. It emphasizes probability as …
Statistical Reinforcement Learning
Modern Machine Learning Approaches
E-bok, 2015
847 kr
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Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and gaming have been successfully explored in recent years. Providing an accessible introduction to the …
